Spatial Analysis
Kirsty Kitto
October 7 2017
Spatial data brings a whole set of new problems with it. A point of particular divergence from our regression models, is brought on by the fact that spatial data is often autocorrelated in the random component. That means that nearby errors are often correlated, and violates one of our core assumptions of regression (about the error terms being independent from one another). We need to adjust our models to account for this problem.
With spatial data we are often interested in asking questions about things like:
- whether our datapoints are spatially clustered?
- if two types of event have the same type of spatial distribution? (e.g. two different types of crime, or two different diseases)
- whether a contagion lies behind an outbreak of a disease? (i.e. is a new case more likely to occur near one of the existing points in a dataset?)
- is an apparent cluster of accidents just due to the fact that there are lots of people are crossing the road there?
On the plus side, R has a whole suite of tools for dealing with spatial data. And the visualisation capabilities in particular are very nicely set up. Let’s spend a little bit of time looking at mapping before we move onto generating some statistical models for our data.
If you really want to find out about how to deal with spatial data in R, then this is a great site, full of some lovely tutorials on everything you are likely to want to know: https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r
I definitely recommend this site! You will need to create an account and log in, but it is definitely worth your while. It has very nice workbooks on Point mapping, kernel smoothing, spatial autocorrelation… almost everything you are likely to know. I have taken a lot of what follows from that site, but this workbook will only be scratching the surface of what is there! (Albeit in one relatively quick to work through workbook as opposed to the 12 Practicals that you will find in that site!)
Mapping
When we are dealing with spatial data, we can often end up with a number of different types of data, often stored in quite complex datatypes.
- point data (e.g. specific places where some event occurs)
- line data (data associated with a line, which we get by joining two points e.g. rivers, roads)
- polygon data (data associated with an area, e.g. SA2)
- raster data (data associated with a grid, e.g. latitude and longitude)
The sp package is a standard way of dealing with spatial data (stored as objects of type Spatial Polygons). Many packages depend upon it, so it is worth learning about if you are planning to do anything with spatial data.
Often we will get information about spatial objects (i.e. maps) from what is called an OGR data source, which is something that has been constructed according to the Geospatial Data Abstraction Library (GDAL), which is really just a data standard for geospatial data (https://en.wikipedia.org/wiki/GDAL).
R has some pretty good tools for dealing with this stuff. In particular, readOGR() function in the rgdal package, can be used to read in OGR data. Let’s load it:
library(sp)## Warning: package 'sp' was built under R version 3.4.1library(rgdal)## Warning: package 'rgdal' was built under R version 3.4.2## rgdal: version: 1.2-12, (SVN revision 681)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 2.1.3, released 2017/20/01
## Path to GDAL shared files: /Library/Frameworks/R.framework/Versions/3.4/Resources/library/rgdal/gdal
## Loaded PROJ.4 runtime: Rel. 4.9.3, 15 August 2016, [PJ_VERSION: 493]
## Path to PROJ.4 shared files: /Library/Frameworks/R.framework/Versions/3.4/Resources/library/rgdal/proj
## Linking to sp version: 1.2-5We can use readOGR to load up the OGR files that have been made available here: https://data.cdrc.ac.uk/dataset/aa5491c9-cbac-4026-97c9-f9168462f4ac/resource/f8ecc2bc-5313-468d-9653-11f0fd752a7d/download/camdenoa11.zip
Make sure that you download them now, and move them to the directory where you are running your code! (i.e. the pathname might not work!) Have a look at the files - they should look like this:
- Camden_oa11.dbf
- Camden_oa11.prj
- Camden_oa11.shp
- Camden_oa11.shx
R knows how to load them all if you specify the path name (“Cambden” for me - I have them in a folder) and the name of the file (i.e. the bit out the front without the filename extension.)
Output.Areas<- readOGR("Camden","Camden_oa11")## OGR data source with driver: ESRI Shapefile
## Source: "Camden", layer: "Camden_oa11"
## with 749 features
## It has 1 fieldsRemember to run ?readOGR to find out more about this function (and the OGR format).
Let’s look at this map!
str(Output.Areas) #its really long! Beware - the thing itself is even longer!## Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots
## ..@ data :'data.frame': 749 obs. of 1 variable:
## .. ..$ OA11CD: Factor w/ 749 levels "E00004120","E00004121",..: 397 395 392 160 80 74 154 334 330 331 ...
## ..@ polygons :List of 749
## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
## .. .. .. ..@ Polygons :List of 1
## .. .. .. .. ..$ :Formal class 'Polygon' [package "sp"] with 5 slots
## .. .. .. .. .. .. ..@ labpt : num [1:2] 530491 181273
## .. .. .. .. .. .. ..@ area : num 44545
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## .. .. .. ..@ ID : chr "0"
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## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
## .. .. .. ..@ Polygons :List of 1
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## .. .. .. ..@ labpt : num [1:2] 525260 184336
## .. .. .. ..@ ID : chr "97"
## .. .. .. ..@ area : num 8932
## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
## .. .. .. ..@ Polygons :List of 1
## .. .. .. .. ..$ :Formal class 'Polygon' [package "sp"] with 5 slots
## .. .. .. .. .. .. ..@ labpt : num [1:2] 527566 184767
## .. .. .. .. .. .. ..@ area : num 10414
## .. .. .. .. .. .. ..@ hole : logi FALSE
## .. .. .. .. .. .. ..@ ringDir: int 1
## .. .. .. .. .. .. ..@ coords : num [1:83, 1:2] 527651 527652 527663 527634 527628 ...
## .. .. .. ..@ plotOrder: int 1
## .. .. .. ..@ labpt : num [1:2] 527566 184767
## .. .. .. ..@ ID : chr "98"
## .. .. .. ..@ area : num 10414
## .. .. [list output truncated]
## ..@ plotOrder : int [1:749] 154 604 597 195 670 418 303 243 97 676 ...
## ..@ bbox : num [1:2, 1:2] 523954 180960 531555 187604
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:2] "x" "y"
## .. .. ..$ : chr [1:2] "min" "max"
## ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slot
## .. .. ..@ projargs: chr "+proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +datum=OSGB36 +units=m +no_defs +ellps"| __truncated__Ok… its a thing of class “SpatialPolygonsDataFrame”. That is a complex beast! (Try running ?SpatialPolygonsDataFrame to find out a bit more about it.) A cool thing about these objects, is that they have a nice plot method:
plot(Output.Areas)
Its a map of Cambden! (Surprise surprise - have a look here if you dont believe me: https://en.wikipedia.org/wiki/London_Borough_of_Camden). If you want to find some Australian data then have a look at this site: http://www.naturalearthdata.com/downloads/ which has a pretty good collection of GIS data. Or open OpenStreetmap is based off the same data format too: http://openstreetmapdata.com/data (you will probably have to do quite a bit of work to get it into a format that you can use though!)
Ok… so we have our map. What can we do with it? Well… if we had some data then we could join it to our map… Then we could do lots of things ;)
Luckily the same site makes census data for the UK available in an easy to use form. You can download it here: https://data.cdrc.ac.uk/dataset/aa5491c9-cbac-4026-97c9-f9168462f4ac/resource/27949d58-8d9b-43b0-b0dd-dfbe47609cbf/download/practicaldata.csv (don’t forget to put it in the right place to run this line):
Census.Data <-read.csv("practicaldata.csv")(Have a look a the data! What is in there?)
Ok. How do we join it? We use a merge function that comes with the sp package:
OA.Census <- merge(Output.Areas, Census.Data, by.x="OA11CD", by.y="OA")Now what do we have?
OA.Census## An object of class "SpatialPolygonsDataFrame"
## Slot "data":
## OA11CD White_British Low_Occupancy Unemployed Qualification
## 397 E00004527 48.290598 12.7450980 7.5117371 35.80786
## 395 E00004525 40.944882 16.8067227 5.9907834 42.41071
## 392 E00004522 44.162437 8.5470085 2.1164021 56.47668
## 160 E00004287 31.868132 12.6126126 3.2863850 67.85714
## 80 E00004206 56.451613 19.6850394 7.9831933 31.74603
## 74 E00004200 39.919355 11.7647059 3.5242291 57.20339
## 154 E00004281 61.752988 7.8260870 4.7619048 64.54545
## 334 E00004464 56.363636 8.9887640 1.9607843 16.36364
## 330 E00004460 41.363636 19.0000000 6.4285714 29.74684
## 331 E00004461 31.701031 31.2977099 10.1123596 27.50000
## 719 E00174650 37.004405 8.6956522 0.6666667 26.82927
## 726 E00174657 41.444867 11.0000000 5.0251256 57.92079
## 723 E00174654 33.456562 21.4285714 1.8633540 17.79141
## 724 E00174655 35.315985 8.1250000 1.9841270 62.97710
## 573 E00004707 33.186813 16.6666667 5.2873563 54.21412
## 651 E00004786 37.628866 8.4112150 2.5000000 57.29730
## 571 E00004705 50.427350 9.9378882 2.0833333 65.14658
## 649 E00004784 38.257576 4.9586777 2.1390374 46.72897
## 522 E00004654 19.858156 11.0000000 2.2222222 57.66423
## 521 E00004653 41.721854 8.8495575 2.8776978 65.75342
## 518 E00004650 33.333333 10.0961538 5.7761733 54.80427
## 519 E00004651 40.880503 14.1509434 0.0000000 54.19355
## 525 E00004658 25.157233 21.0526316 8.2251082 27.86885
## 69 E00004195 38.263666 17.2932331 1.0752688 62.62976
## 90 E00004216 66.220736 3.4246575 1.2605042 70.73171
## 170 E00004297 53.605016 5.8441558 6.0498221 58.36177
## 168 E00004295 49.871465 5.1428571 4.3750000 59.88539
## 88 E00004214 33.781190 9.0534979 4.5346062 40.28436
## 85 E00004211 45.424837 12.0967742 2.6415094 44.89051
## 163 E00004290 32.679739 12.8048780 3.7735849 50.18315
## 399 E00004529 39.821029 11.5942029 1.5037594 50.37221
## 343 E00004473 55.833333 8.0645161 4.5197740 66.66667
## 348 E00004478 46.803653 9.5454545 6.1170213 55.46875
## 662 E00004797 28.571429 23.7762238 5.7377049 35.74144
## 582 E00004716 25.786164 23.6220472 7.8341014 28.38428
## 580 E00004714 55.319149 5.6737589 2.1186441 59.52381
## 660 E00004795 47.011952 5.9405941 3.5000000 65.86538
## 576 E00004710 45.980707 13.7404580 4.7058824 43.86617
## 656 E00004791 55.882353 10.3773585 4.1666667 54.41176
## 495 E00004626 26.582278 13.1914894 4.0123457 41.27907
## 492 E00004623 36.417910 12.5827815 6.8592058 51.38889
## 217 E00004344 22.891566 7.6271186 4.9019608 68.30357
## 218 E00004345 48.543689 1.6528926 0.9090909 55.10204
## 405 E00004536 45.493562 11.5942029 2.2421525 74.34783
## 401 E00004531 41.638225 16.8067227 5.6768559 44.44444
## 317 E00004446 41.776316 15.2542373 7.6923077 38.72340
## 313 E00004441 57.735849 6.9565217 6.5116279 68.44444
## 505 E00004636 28.947368 20.3539823 7.5757576 29.32692
## 504 E00004635 28.428094 22.4000000 9.3596059 27.96209
## 501 E00004632 30.837004 26.3157895 7.1942446 26.66667
## 43 E00004162 33.870968 7.0312500 5.2631579 66.19718
## 140 E00004266 50.434783 12.1794872 5.2830189 39.85507
## 134 E00004260 44.090909 16.9117647 12.3595506 27.32240
## 299 E00004426 50.501672 5.5944056 3.0042918 70.11952
## 300 E00004427 66.554054 0.0000000 1.5957447 72.85068
## 298 E00004425 54.545455 5.7142857 3.4090909 75.52448
## 689 E00004825 56.716418 3.6363636 3.8251366 76.63043
## 686 E00004822 57.714286 10.0000000 4.1666667 62.50000
## 685 E00004821 49.738220 9.1743119 3.0120482 69.31818
## 692 E00004828 42.124542 13.5338346 4.7826087 40.49587
## 693 E00004829 44.537815 6.4220183 2.3923445 66.97674
## 230 E00004357 44.285714 7.6271186 1.3274336 71.25000
## 231 E00004358 42.647059 8.7719298 3.0150754 48.88889
## 450 E00004581 59.745763 9.9009901 4.6153846 63.63636
## 370 E00004500 60.946746 11.4503817 4.6979866 64.37500
## 458 E00004589 67.509025 4.8000000 6.3348416 59.11111
## 378 E00004508 69.863014 4.0000000 3.0042918 57.69231
## 324 E00004454 36.997886 22.2222222 8.1818182 29.68300
## 325 E00004455 31.908832 29.2682927 5.7777778 30.34188
## 322 E00004452 48.101266 9.0909091 3.6144578 52.29008
## 323 E00004453 50.366748 13.8888889 6.5743945 28.52665
## 320 E00004450 56.955381 10.2857143 8.4375000 46.08434
## 632 E00004767 46.283784 5.6338028 1.2500000 71.82540
## 630 E00004765 24.793388 29.4117647 4.9723757 25.94595
## 697 E00004833 48.942598 12.8205128 4.8951049 53.71622
## 703 E00004839 34.310850 7.8651685 7.5342466 48.33333
## 200 E00004327 41.562500 5.7142857 2.6785714 71.54472
## 194 E00004321 41.736695 4.3859649 2.1505376 57.91246
## 201 E00004328 43.076923 6.3157895 5.9459459 60.71429
## 149 E00004276 48.540146 14.7540984 8.3720930 47.00855
## 150 E00004277 58.687259 13.3333333 1.4218009 56.05381
## 147 E00004274 61.855670 8.4615385 6.2761506 60.40000
## 146 E00004273 63.736264 11.9496855 2.6402640 66.15854
## 152 E00004279 41.724138 14.9253731 3.5087719 41.90871
## 464 E00004595 63.809524 7.6923077 2.8169014 44.98141
## 384 E00004514 69.366197 5.1724138 2.2222222 67.37288
## 462 E00004593 42.285714 12.6637555 4.4742729 59.29204
## 382 E00004512 59.851301 10.8333333 3.9603960 52.91480
## 460 E00004591 46.183206 11.6071429 5.1813472 49.24623
## 380 E00004510 58.745875 3.9062500 6.6666667 65.63707
## 388 E00004518 56.275304 9.4827586 8.4745763 39.79592
## 468 E00004599 62.057878 9.3167702 3.8610039 69.81818
## 641 E00004776 40.645161 8.6956522 3.4482759 63.05970
## 636 E00004771 46.774194 0.8547009 1.8264840 50.40650
## 563 E00004696 27.873563 29.3650794 6.2992126 22.67658
## 486 E00004617 37.914692 7.8947368 2.1739130 67.36842
## 561 E00004694 26.315789 12.0370370 4.4000000 45.31250
## 484 E00004615 41.904762 17.6470588 5.9782609 64.94845
## 25 E00004144 58.695652 1.9607843 3.5087719 76.08696
## 30 E00004149 54.896142 4.6979866 1.5564202 65.29210
## 668 E00004804 41.095890 8.8495575 2.0618557 80.40201
## 665 E00004801 40.209790 4.5112782 5.5776892 70.98039
## 203 E00004330 45.238095 4.1095890 4.6218487 76.63934
## 211 E00004338 39.483395 5.3571429 0.5208333 79.41176
## 119 E00004245 55.205047 13.4969325 3.6437247 43.11594
## 308 E00004436 52.852853 3.6144578 2.7131783 68.15068
## 306 E00004433 47.666667 5.0359712 1.3392857 73.87755
## 613 E00004748 32.848837 13.9072848 4.9242424 27.95699
## 614 E00004749 23.295455 26.9662921 6.4267352 19.90408
## 37 E00004156 41.704036 5.5555556 4.6242775 72.82609
## 175 E00004302 40.264026 7.6923077 5.7851240 46.64032
## 256 E00004383 63.106796 4.8543689 4.0935673 64.48087
## 176 E00004303 60.869565 5.3097345 4.1152263 69.41176
## 255 E00004382 69.072165 4.3165468 4.0540541 67.38197
## 174 E00004301 23.061630 18.2572614 3.9812646 46.20690
## 253 E00004380 36.599424 15.1315789 7.1713147 29.34783
## 130 E00004256 26.869806 14.7651007 4.2145594 42.12329
## 133 E00004259 25.609756 23.0769231 9.2783505 27.14286
## 433 E00004564 49.831650 11.8644068 4.6511628 58.42697
## 429 E00004560 55.506608 14.8760331 3.8888889 37.50000
## 430 E00004561 37.313433 17.9687500 4.1841004 37.05179
## 357 E00004487 65.258216 9.8214286 5.1724138 57.69231
## 279 E00004406 60.084034 4.2735043 0.0000000 71.56863
## 280 E00004407 62.463343 0.8474576 2.5423729 55.55556
## 356 E00004486 62.681159 8.6206897 5.0458716 60.16949
## 282 E00004409 49.600000 7.4074074 5.0761421 51.88679
## 358 E00004488 57.345972 9.7560976 6.0150376 20.94595
## 731 E00174662 38.842975 3.3333333 1.6806723 75.63025
## 737 E00174668 37.050360 20.3703704 7.3170732 33.48214
## 620 E00004755 35.000000 28.8288288 9.0909091 21.90476
## 742 E00174673 12.612613 7.6923077 0.9174312 88.07339
## 746 E00174677 22.520107 8.1250000 4.5283019 50.67568
## 743 E00174674 36.842105 10.2272727 5.3691275 60.40268
## 529 E00004662 38.194444 17.3611111 5.1063830 37.50000
## 527 E00004660 34.188034 16.4062500 8.8607595 40.00000
## 4 E00004123 49.662162 0.9259259 2.8037383 60.77586
## 187 E00004314 41.509434 10.4575163 4.8507463 55.95668
## 268 E00004395 53.136531 12.7819549 2.7272727 61.53846
## 267 E00004394 46.733668 11.7021277 5.2287582 47.77070
## 188 E00004315 51.315789 1.9480519 3.7313433 69.64286
## 94 E00004220 64.705882 11.4942529 2.6086957 34.28571
## 445 E00004576 48.022599 20.0000000 5.6451613 45.48872
## 446 E00004577 62.874251 10.4838710 3.5398230 42.34875
## 447 E00004578 47.703180 9.7402597 3.5856574 58.49802
## 448 E00004579 64.426877 12.3809524 3.6082474 60.89109
## 690 E00004826 55.319149 8.0000000 0.9132420 74.77477
## 691 E00004827 29.651163 16.0714286 6.8840580 49.11661
## 688 E00004824 46.788991 6.9230769 3.8834951 62.55924
## 687 E00004823 33.591731 15.0000000 3.9568345 41.83007
## 684 E00004820 40.753425 2.9411765 2.3529412 62.25681
## 56 E00004179 50.152905 13.6842105 4.5833333 32.50883
## 202 E00004329 37.426901 11.2903226 3.5714286 59.10781
## 286 E00004413 50.617284 2.9702970 2.3668639 69.18605
## 362 E00004492 69.538462 1.5625000 1.2195122 63.70656
## 360 E00004490 44.129555 15.9574468 9.1836735 40.97561
## 284 E00004411 56.746032 8.7719298 4.0000000 76.77725
## 524 E00004656 20.398010 7.7253219 4.0247678 69.32153
## 523 E00004655 23.706897 20.8000000 7.0588235 67.05202
## 520 E00004652 43.459916 12.0300752 3.0612245 47.11538
## 47 E00004166 26.923077 24.8407643 10.2661597 26.40845
## 592 E00004726 51.709402 12.8205128 4.0229885 27.09360
## 591 E00004725 22.580645 30.1587302 10.5882353 13.52313
## 588 E00004722 21.768707 23.3644860 6.4039409 16.51376
## 589 E00004723 27.272727 14.9122807 3.0927835 29.43925
## 594 E00004728 22.912966 24.1206030 8.8832487 22.49389
## 595 E00004729 33.203125 22.7722772 6.4327485 17.93478
## 539 E00004672 43.497758 10.8333333 2.8169014 57.33945
## 17 E00004136 59.649123 0.9090909 2.7322404 73.68421
## 106 E00004232 60.891089 3.0303030 1.8987342 57.30337
## 113 E00004239 61.395349 6.3063063 2.4096386 46.70330
## 416 E00004547 27.093596 11.5853659 3.5190616 45.07042
## 411 E00004542 41.666667 17.4157303 4.3795620 42.19269
## 229 E00004356 49.523810 3.3057851 1.7937220 71.24464
## 227 E00004354 44.400000 2.7777778 1.5544041 61.18721
## 228 E00004355 57.088123 5.7377049 1.5789474 55.20362
## 225 E00004352 51.485149 0.8474576 1.4084507 72.72727
## 226 E00004353 48.605578 0.7299270 1.1299435 53.63636
## 223 E00004350 49.626866 2.4000000 2.7472527 64.97696
## 224 E00004351 55.782313 1.5267176 2.2624434 59.36255
## 700 E00004836 40.895522 14.6198830 3.7288136 42.25806
## 701 E00004837 43.750000 12.5654450 6.3444109 61.40351
## 698 E00004834 37.782805 15.6756757 6.6066066 48.32402
## 699 E00004835 45.565749 12.5748503 3.3670034 62.91391
## 148 E00004275 57.286432 10.5769231 2.9069767 57.30337
## 145 E00004272 65.934066 8.8495575 2.2624434 63.29114
## 143 E00004270 36.607143 16.9312169 4.6703297 39.62264
## 144 E00004271 42.073171 11.9718310 8.4249084 59.43060
## 27 E00004146 51.405622 9.5238095 3.2407407 70.27027
## 28 E00004147 60.000000 7.1428571 1.5544041 72.41379
## 26 E00004145 42.187500 3.6363636 2.3474178 65.92920
## 23 E00004142 45.991561 6.0150376 5.0000000 70.47619
## 24 E00004143 42.975207 3.1746032 1.5789474 70.50000
## 21 E00004140 45.145631 4.5045045 3.1446541 71.97802
## 718 E00174649 29.834254 7.4074074 5.7627119 29.39189
## 600 E00004734 20.991254 23.8532110 6.0483871 16.34981
## 599 E00004733 44.308943 14.5038168 3.4146341 53.14010
## 596 E00004730 43.750000 11.6883117 8.1818182 14.72868
## 513 E00004644 27.100271 15.9090909 7.1428571 27.50929
## 514 E00004645 30.232558 12.6126126 3.6496350 48.25175
## 509 E00004640 28.571429 14.3835616 5.8333333 42.85714
## 58 E00004181 54.366197 12.7358491 4.4715447 31.73077
## 64 E00004188 28.021978 19.2660550 4.2168675 57.06215
## 240 E00004367 36.599424 18.2432432 4.6413502 35.63218
## 236 E00004363 41.105769 20.9150327 7.9207921 21.18380
## 159 E00004286 36.394558 12.6582278 5.1383399 50.74074
## 81 E00004207 31.506849 16.4062500 10.0401606 25.93985
## 78 E00004204 55.234657 4.6979866 2.2935780 68.82591
## 158 E00004285 44.074074 8.3333333 6.3829787 65.04065
## 79 E00004205 60.321716 5.5172414 2.6402640 62.57862
## 157 E00004284 47.773279 8.5937500 5.2631579 48.84793
## 76 E00004202 63.742690 2.5000000 6.7164179 27.64706
## 156 E00004283 53.183521 3.6496350 3.5398230 51.50215
## 77 E00004203 52.978056 6.7073171 2.4822695 65.55184
## 155 E00004282 44.701987 7.3825503 5.3497942 56.34921
## 75 E00004201 65.441176 2.7777778 0.4672897 72.92576
## 153 E00004280 55.450237 6.4814815 1.1363636 59.47368
## 162 E00004289 49.137931 4.6511628 2.8436019 64.97696
## 82 E00004208 40.594059 20.0000000 7.9646018 26.14108
## 161 E00004288 37.106918 12.0481928 5.9259259 50.18182
## 83 E00004209 42.066421 10.6194690 3.7815126 38.46154
## 425 E00004556 28.239203 20.2797203 7.3593074 42.97189
## 426 E00004557 43.502825 19.0082645 11.6788321 35.06494
## 423 E00004554 38.177340 11.5207373 2.1164021 55.98958
## 424 E00004555 32.110092 21.2598425 9.8214286 31.14754
## 421 E00004552 36.593060 17.4603175 6.3559322 32.38866
## 422 E00004553 32.890365 16.8141593 8.7336245 37.81513
## 419 E00004550 30.591260 21.9178082 7.9470199 40.12539
## 420 E00004551 41.588785 7.6923077 2.3809524 68.32461
## 427 E00004558 38.989170 6.3380282 3.3195021 51.56250
## 428 E00004559 29.423459 15.6862745 4.2253521 54.87528
## 336 E00004466 51.818182 9.0909091 1.5544041 73.58491
## 337 E00004467 55.921053 15.7894737 5.9574468 28.45850
## 335 E00004465 53.619303 17.4698795 4.3918919 38.85350
## 332 E00004462 70.886076 5.2631579 5.7591623 60.19900
## 333 E00004463 25.000000 25.8992806 8.9361702 18.62348
## 338 E00004468 30.232558 22.3776224 6.1583578 23.61111
## 339 E00004469 66.793893 5.7377049 2.8985507 70.74236
## 721 E00174652 38.095238 13.0952381 1.4925373 55.39568
## 722 E00174653 32.567850 19.0476190 4.5673077 30.23256
## 720 E00174651 50.930626 13.5802469 1.4466546 13.71841
## 725 E00174656 58.558559 6.9565217 4.9180328 55.60976
## 727 E00174658 78.034682 3.7500000 3.3783784 61.63522
## 728 E00174659 45.015106 19.2546584 10.2990033 61.90476
## 572 E00004706 35.915493 18.6868687 6.1827957 49.21466
## 652 E00004787 42.348754 7.5862069 5.0632911 61.29032
## 570 E00004704 33.689840 18.5185185 4.3859649 45.29915
## 650 E00004785 44.097222 14.6341463 6.7632850 35.96491
## 568 E00004702 38.867925 20.0000000 6.5989848 28.77358
## 648 E00004783 42.122186 9.6774194 5.5299539 47.91667
## 569 E00004703 55.033557 10.4895105 2.5974026 47.12644
## 647 E00004782 39.525692 0.0000000 1.2903226 49.50000
## 566 E00004700 32.142857 17.1171171 7.4766355 18.82845
## 646 E00004781 30.303030 17.1641791 5.8558559 48.60558
## 567 E00004701 25.490196 7.4829932 3.4482759 40.16736
## 645 E00004780 15.579710 5.6451613 2.8708134 51.52838
## 574 E00004708 44.500000 8.4745763 5.6818182 56.98925
## 654 E00004789 18.803419 39.0804598 11.4864865 41.21622
## 653 E00004788 34.939759 7.2000000 4.4776119 72.30047
## 575 E00004709 43.041237 17.7631579 5.1446945 52.16049
## 526 E00004659 25.000000 26.6666667 3.5820896 35.50296
## 71 E00004197 47.470817 6.8965517 0.4201681 62.65060
## 70 E00004196 58.293839 3.9603960 2.3121387 68.18182
## 68 E00004194 39.682540 9.0277778 2.2026432 67.09402
## 67 E00004193 34.855403 11.7647059 0.6309148 50.92879
## 66 E00004190 58.811040 7.0312500 2.7842227 64.17910
## 73 E00004199 40.209790 7.3619632 2.7777778 60.68702
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## 659 E00004794 34.357006 11.1111111 5.9154930 47.43590
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## 664 E00004799 42.810458 11.2676056 4.3650794 73.46154
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## 493 E00004624 48.363636 5.8333333 2.6086957 66.94215
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## 407 E00004538 45.077720 15.5339806 7.3333333 31.70732
## 408 E00004539 43.609023 10.1265823 5.2631579 43.69748
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## 315 E00004444 32.175926 29.3750000 8.1081081 29.27632
## 316 E00004445 57.627119 9.5238095 6.5989848 47.34300
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## 312 E00004440 58.039216 2.6785714 1.6666667 73.13433
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## min max
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## Slot "proj4string":
## CRS arguments:
## +proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000
## +y_0=-100000 +datum=OSGB36 +units=m +no_defs +ellps=airy
## +towgs84=446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894Oooo… it is one of those SPdataframe thingos with 5 variables now (go and look at the last print out - it only had one). So now we have added some data to our map! Data about the number of White_Brittish citizens there are in an area, how many Unemployed etc. etc. Now. Many different coordinate systems are possible. If you are having trouble using GIS data this could well be what is going wrong. Here, we are going to set the coordinate system to the British National Grid (which is the format the data actually came in - we are just making sure, and it is an important thing to learn about):
proj4string(OA.Census) <- CRS("+init=EPSG:27700")## Warning in `proj4string<-`(`*tmp*`, value = <S4 object of class structure("CRS", package = "sp")>): A new CRS was assigned to an object with an existing CRS:
## +proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +datum=OSGB36 +units=m +no_defs +ellps=airy +towgs84=446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894
## without reprojecting.
## For reprojection, use function spTransformCool. A really good place to go if you want to learn more about mapping (as well as some of the R S4 classes like SpatialPolygonsDataFrame and how they work!) is this data camp course: https://campus.datacamp.com/courses/working-with-geospatial-data-in-r Chapters 2 onwards are very nice, and provide a good introduction to the sp, raster and rgdal packages, setting coordinate systems etc. I recommend working through it if you want to find out more about what we are doing here (we are skimming through!)
Now… we could make our map look nicer. Let’s use the tmap package, which works quite a bit like ggplot (i.e. it layers the graphics up, so is quite powerful).
library(tmap)Have a look at ?tm_shape and ?tm_fill and you will start working out how it can be used. For a list of all possible functions try ?tmap. That Data Camp course (https://campus.datacamp.com/courses/working-with-geospatial-data-in-r) is the place to go if you want to find out more about how tmap works. We don’t have time to cover it here.
Let’s try using it! What is the spread of Qualifications acorss Camden?
tm_shape(OA.Census) + tm_fill("Qualification") 
Nice - you can find out a lot more about mapping options by working through the rest of Practical 5 on https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r (we are going to move onto more statistical things!)
More information
We are not going to cover mapping in any more detail - you could easily complete a whole course just in this! For more information you could start with the following two resources (which I have already referred to above!)
Point Pattern Analysis
So… we have a map. Let’s put some more data onto it. The same site makes some point data about house prices available via this link: https://data.cdrc.ac.uk/dataset/aa5491c9-cbac-4026-97c9-f9168462f4ac/resource/24c4f527-43c8-4c09-8558-ad6a48e17de5/download/camdenhousesales15.csv
Let’s look at it:
houses <- read.csv("CamdenHouseSales15.csv")
houses## UID Price Date Street District
## 1 597034 22500000 06/12/2015 0:00 AVENUE ROAD CAMDEN
## 2 594622 15200000 11/04/2015 0:00 GREENAWAY GARDENS CAMDEN
## 3 594696 13500000 03/10/2015 0:00 TEMPLEWOOD AVENUE CAMDEN
## 4 594592 10500000 09/14/2015 0:00 CHURCH ROW CAMDEN
## 5 515677 8950000 10/30/2015 0:00 THE GROVE CAMDEN
## 6 592992 8750000 09/01/2015 0:00 ST GEORGES TERRACE CAMDEN
## 7 592670 8500000 11/12/2015 0:00 CHESTER TERRACE CAMDEN
## 8 594265 8300000 08/19/2015 0:00 BELSIZE PARK CAMDEN
## 9 594623 8000000 02/13/2015 0:00 GREENAWAY GARDENS CAMDEN
## 10 594637 7720000 07/10/2015 0:00 SPANIARDS ROAD CAMDEN
## 11 592661 7500000 01/30/2015 0:00 CUMBERLAND TERRACE CAMDEN
## 12 594635 6925000 11/03/2015 0:00 NORTH END AVENUE CAMDEN
## 13 594642 6870000 02/19/2015 0:00 OAK HILL WAY CAMDEN
## 14 592920 6800000 01/28/2015 0:00 REGENTS PARK ROAD CAMDEN
## 15 592669 6500000 07/31/2015 0:00 CHESTER TERRACE CAMDEN
## 16 592996 6500000 08/07/2015 0:00 CHALCOT SQUARE CAMDEN
## 17 594669 6500000 01/12/2015 0:00 HEATH DRIVE CAMDEN
## 18 515689 6000000 11/18/2015 0:00 ROBIN GROVE CAMDEN
## 19 592646 6000000 09/21/2015 0:00 ALBANY STREET CAMDEN
## 20 594127 5900000 11/09/2015 0:00 UPPER PARK ROAD CAMDEN
## 21 594643 5850000 06/26/2015 0:00 BRANCH HILL CAMDEN
## 22 594279 5800000 07/15/2015 0:00 BELSIZE SQUARE CAMDEN
## 23 597017 5800000 08/03/2015 0:00 RUDGWICK TERRACE CAMDEN
## 24 592648 5775000 12/01/2015 0:00 PARK VILLAGE WEST CAMDEN
## 25 594118 5750000 06/22/2015 0:00 PARLIAMENT HILL CAMDEN
## 26 594160 5750000 07/24/2015 0:00 ELSWORTHY ROAD CAMDEN
## 27 594361 5750000 09/29/2015 0:00 ETON ROAD CAMDEN
## 28 515670 5700000 07/10/2015 0:00 HIGHFIELDS GROVE CAMDEN
## 29 594421 5675000 02/16/2015 0:00 BUCKLAND CRESCENT CAMDEN
## 30 594660 5600000 03/13/2015 0:00 REDINGTON ROAD CAMDEN
## 31 594572 5500000 10/01/2015 0:00 LANGLAND GARDENS CAMDEN
## 32 594132 5250000 05/08/2015 0:00 LAWN ROAD CAMDEN
## 33 594478 5100000 07/03/2015 0:00 ELDON GROVE CAMDEN
## 34 515672 5000000 10/20/2015 0:00 HIGHFIELDS GROVE CAMDEN
## 35 594364 4850000 05/15/2015 0:00 PROVOST ROAD CAMDEN
## 36 594534 4850000 07/03/2015 0:00 ARKWRIGHT ROAD CAMDEN
## 37 515676 4700000 09/04/2015 0:00 HIGHGATE WEST HILL CAMDEN
## 38 593949 4588000 08/10/2015 0:00 WELL ROAD CAMDEN
## 39 594482 4500000 11/04/2015 0:00 WEDDERBURN ROAD CAMDEN
## 40 595561 4500000 01/30/2015 0:00 ALVANLEY GARDENS CAMDEN
## 41 594158 4450000 06/26/2015 0:00 ELSWORTHY ROAD CAMDEN
## 42 594636 4450000 05/29/2015 0:00 SPANIARDS ROAD CAMDEN
## 43 594159 4440755 06/26/2015 0:00 ELSWORTHY ROAD CAMDEN
## 44 594101 4350000 09/04/2015 0:00 HEATH HURST ROAD CAMDEN
## 45 284510 4250000 11/30/2015 0:00 FARRINGDON ROAD CAMDEN
## 46 594455 4250000 06/12/2015 0:00 COLLEGE CRESCENT CAMDEN
## 47 592921 4100000 07/29/2015 0:00 ST MARKS CRESCENT CAMDEN
## 48 592650 4050000 09/23/2015 0:00 PARK VILLAGE WEST CAMDEN
## 49 593929 4000000 09/02/2015 0:00 HAMPSTEAD SQUARE CAMDEN
## 50 927485 4000000 07/10/2015 0:00 ENDSLEIGH STREET CAMDEN
## 51 594102 3990000 01/14/2015 0:00 SOUTH HILL PARK CAMDEN
## 52 593256 3950000 01/06/2015 0:00 RANULF ROAD CAMDEN
## 53 593997 3900000 11/19/2015 0:00 GAYTON CRESCENT CAMDEN
## 54 594000 3900000 03/27/2015 0:00 GAYTON ROAD CAMDEN
## 55 515682 3850000 12/09/2015 0:00 HOLLY TERRACE CAMDEN
## 56 594531 3850000 07/20/2015 0:00 ARKWRIGHT ROAD CAMDEN
## 57 595545 3850000 01/06/2015 0:00 HONEYBOURNE ROAD CAMDEN
## 58 927647 3850000 09/30/2015 0:00 GREAT JAMES STREET CAMDEN
## 59 594454 3800000 08/03/2015 0:00 COLLEGE CRESCENT CAMDEN
## 60 592668 3750000 02/02/2015 0:00 CHESTER PLACE CAMDEN
## 61 593000 3750000 01/28/2015 0:00 SHARPLESHALL STREET CAMDEN
## 62 594162 3750000 07/10/2015 0:00 ELSWORTHY ROAD CAMDEN
## 63 592993 3725000 10/29/2015 0:00 REGENTS PARK ROAD CAMDEN
## 64 592990 3700000 10/19/2015 0:00 CHAMBERLAIN STREET CAMDEN
## 65 594124 3700000 02/06/2015 0:00 NASSINGTON ROAD CAMDEN
## 66 594370 3700000 05/28/2015 0:00 BELSIZE GROVE CAMDEN
## 67 592989 3600000 07/10/2015 0:00 CHAMBERLAIN STREET CAMDEN
## 68 593999 3600000 08/13/2015 0:00 GAYTON ROAD CAMDEN
## 69 594666 3600000 08/14/2015 0:00 REDINGTON GARDENS CAMDEN
## 70 595785 3600000 03/16/2015 0:00 COMPAYNE GARDENS CAMDEN
## 71 595799 3598940 10/23/2015 0:00 GOLDHURST TERRACE CAMDEN
## 72 594410 3550000 05/15/2015 0:00 BELSIZE LANE CAMDEN
## 73 595766 3550000 07/15/2015 0:00 ABERDARE GARDENS CAMDEN
## 74 592649 3500000 03/25/2015 0:00 PARK VILLAGE WEST CAMDEN
## 75 594312 3500000 07/03/2015 0:00 HOWITT ROAD CAMDEN
## 76 594681 3490000 01/23/2015 0:00 KIDDERPORE GARDENS CAMDEN
## 77 593998 3487500 12/04/2015 0:00 GAYTON CRESCENT CAMDEN
## 78 592956 3475000 07/31/2015 0:00 GLOUCESTER AVENUE CAMDEN
## 79 515671 3416000 07/22/2015 0:00 HIGHFIELDS GROVE CAMDEN
## 80 593931 3405000 11/27/2015 0:00 EAST HEATH ROAD CAMDEN
## 81 595544 3350000 03/02/2015 0:00 HONEYBOURNE ROAD CAMDEN
## 82 594153 3300000 01/28/2015 0:00 AINGER ROAD CAMDEN
## 83 592880 3260625 03/06/2015 0:00 ARLINGTON ROAD CAMDEN
## 84 594130 3250000 06/18/2015 0:00 LAWN ROAD CAMDEN
## 85 927639 3226750 06/01/2015 0:00 GREAT JAMES STREET CAMDEN
## 86 927640 3226750 06/01/2015 0:00 GREAT JAMES STREET CAMDEN
## 87 594418 3175000 07/07/2015 0:00 DALEHAM MEWS CAMDEN
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## 1970 596994 460000 10/21/2015 0:00 BOUNDARY ROAD CAMDEN
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## 1998 592107 450000 02/04/2015 0:00 KINGS TERRACE CAMDEN
## 1999 592579 450000 08/26/2015 0:00 OSSULSTON STREET CAMDEN
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## 2001 593004 450000 04/10/2015 0:00 CAMDEN ROAD CAMDEN
## 2002 593324 450000 06/03/2015 0:00 WESTCROFT CLOSE CAMDEN
## 2003 594055 450000 09/30/2015 0:00 MANSFIELD ROAD CAMDEN
## 2004 594255 450000 12/09/2015 0:00 GLENMORE ROAD CAMDEN
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## 2008 595458 450000 03/20/2015 0:00 ATHLONE STREET CAMDEN
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## 2018 927526 450000 03/31/2015 0:00 CROMER STREET CAMDEN
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## 2313 595915 350000 02/12/2015 0:00 GRANGE PLACE CAMDEN
## 2314 595964 350000 10/29/2015 0:00 DOBSON CLOSE CAMDEN
## 2315 927479 350000 05/06/2015 0:00 RIDGMOUNT STREET CAMDEN
## 2316 927500 350000 12/18/2015 0:00 WOBURN PLACE CAMDEN
## 2317 927514 350000 09/18/2015 0:00 WOBURN PLACE CAMDEN
## 2318 594415 349950 10/09/2015 0:00 DALEHAM GARDENS CAMDEN
## 2319 284553 347300 07/20/2015 0:00 BOURNE ESTATE CAMDEN
## 2320 594188 347000 07/24/2015 0:00 FELLOWS ROAD CAMDEN
## 2321 594346 346743 06/15/2015 0:00 HAVERSTOCK HILL CAMDEN
## 2322 592633 345000 09/25/2015 0:00 CLARENCE GARDENS CAMDEN
## 2323 592640 345000 07/03/2015 0:00 STANHOPE STREET CAMDEN
## 2324 595428 345000 12/10/2015 0:00 WEEDINGTON ROAD CAMDEN
## 2325 595493 345000 05/22/2015 0:00 HOLMDALE ROAD CAMDEN
## 2326 593384 341599 03/03/2015 0:00 SHOOT UP HILL CAMDEN
## 2327 595237 341500 04/17/2015 0:00 SANDALL ROAD CAMDEN
## 2328 594544 341000 11/17/2015 0:00 LITHOS ROAD CAMDEN
## 2329 512318 340000 10/23/2015 0:00 BRECKNOCK ROAD CAMDEN
## 2330 512405 340000 03/27/2015 0:00 LULOT GARDENS CAMDEN
## 2331 593016 340000 03/20/2015 0:00 CAMDEN ROAD CAMDEN
## 2332 595424 340000 04/15/2015 0:00 ARCTIC STREET CAMDEN
## 2333 595914 340000 04/27/2015 0:00 ERESBY PLACE CAMDEN
## 2334 515668 337500 10/13/2015 0:00 MAKEPEACE AVENUE CAMDEN
## 2335 592663 337500 09/21/2015 0:00 CUMBERLAND TERRACE MEWS CAMDEN
## 2336 927494 337500 10/20/2015 0:00 WOBURN PLACE CAMDEN
## 2337 927503 337000 04/02/2015 0:00 WOBURN PLACE CAMDEN
## 2338 596153 336000 06/25/2015 0:00 SPRINGFIELD LANE CAMDEN
## 2339 593008 335000 03/20/2015 0:00 CAMDEN PARK ROAD CAMDEN
## 2340 595263 335000 02/02/2015 0:00 LUPTON STREET CAMDEN
## 2341 596105 335000 07/03/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2342 927511 335000 09/07/2015 0:00 WOBURN PLACE CAMDEN
## 2343 927580 335000 05/22/2015 0:00 JUDD STREET CAMDEN
## 2344 515663 334000 06/26/2015 0:00 OAKESHOTT AVENUE CAMDEN
## 2345 592639 330000 12/01/2015 0:00 AUGUSTUS STREET CAMDEN
## 2346 593038 330000 06/02/2015 0:00 WILMOT PLACE CAMDEN
## 2347 594394 330000 04/17/2015 0:00 BELSIZE GROVE CAMDEN
## 2348 594442 330000 01/27/2015 0:00 NEW COLLEGE COURT CAMDEN
## 2349 594607 330000 03/30/2015 0:00 FINCHLEY ROAD CAMDEN
## 2350 595642 330000 07/10/2015 0:00 WEST END LANE CAMDEN
## 2351 927489 330000 10/23/2015 0:00 WOBURN PLACE CAMDEN
## 2352 927509 330000 10/30/2015 0:00 WOBURN PLACE CAMDEN
## 2353 927834 330000 04/06/2015 0:00 SHELTON STREET CAMDEN
## 2354 595431 329950 09/04/2015 0:00 QUEENS CRESCENT CAMDEN
## 2355 595723 328000 05/08/2015 0:00 NETHERWOOD STREET CAMDEN
## 2356 595693 327500 07/01/2015 0:00 HALL OAK WALK CAMDEN
## 2357 592897 325000 09/04/2015 0:00 MORNINGTON TERRACE CAMDEN
## 2358 593023 325000 02/20/2015 0:00 CAMDEN ROAD CAMDEN
## 2359 593040 325000 06/11/2015 0:00 WILMOT PLACE CAMDEN
## 2360 593041 325000 06/09/2015 0:00 WILMOT PLACE CAMDEN
## 2361 594058 325000 12/02/2015 0:00 SAVERNAKE ROAD CAMDEN
## 2362 594135 325000 01/14/2015 0:00 GARNETT ROAD CAMDEN
## 2363 595253 325000 01/16/2015 0:00 GAISFORD STREET CAMDEN
## 2364 595435 325000 03/02/2015 0:00 QUEENS CRESCENT CAMDEN
## 2365 596098 325000 05/22/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2366 596103 325000 11/16/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2367 596109 325000 04/07/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2368 927495 325000 03/02/2015 0:00 WOBURN PLACE CAMDEN
## 2369 927496 325000 09/25/2015 0:00 WOBURN PLACE CAMDEN
## 2370 927507 325000 03/27/2015 0:00 WOBURN PLACE CAMDEN
## 2371 595912 322500 05/19/2015 0:00 ERESBY PLACE CAMDEN
## 2372 515667 320000 02/05/2015 0:00 OAKESHOTT AVENUE CAMDEN
## 2373 593381 320000 05/22/2015 0:00 SHOOT UP HILL CAMDEN
## 2374 593382 320000 04/08/2015 0:00 SHOOT UP HILL CAMDEN
## 2375 593386 320000 11/27/2015 0:00 SHOOT UP HILL CAMDEN
## 2376 594382 320000 12/11/2015 0:00 BELSIZE GROVE CAMDEN
## 2377 595775 320000 02/16/2015 0:00 WEST HAMPSTEAD MEWS CAMDEN
## 2378 595776 320000 02/16/2015 0:00 WEST HAMPSTEAD MEWS CAMDEN
## 2379 927561 320000 09/25/2015 0:00 JUDD STREET CAMDEN
## 2380 595427 318500 09/30/2015 0:00 WEEDINGTON ROAD CAMDEN
## 2381 594392 317900 07/01/2015 0:00 BELSIZE GROVE CAMDEN
## 2382 592071 315000 12/11/2015 0:00 BAYHAM STREET CAMDEN
## 2383 594197 315000 01/09/2015 0:00 FELLOWS ROAD CAMDEN
## 2384 594204 315000 01/15/2015 0:00 FELLOWS ROAD CAMDEN
## 2385 594393 315000 10/16/2015 0:00 BELSIZE GROVE CAMDEN
## 2386 594555 315000 02/19/2015 0:00 FINCHLEY ROAD CAMDEN
## 2387 595466 315000 01/09/2015 0:00 WELLESLEY ROAD CAMDEN
## 2388 595676 315000 03/03/2015 0:00 HEMSTAL ROAD CAMDEN
## 2389 594389 313000 06/09/2015 0:00 BELSIZE GROVE CAMDEN
## 2390 927576 312500 12/16/2015 0:00 JUDD STREET CAMDEN
## 2391 594381 312000 06/22/2015 0:00 BELSIZE GROVE CAMDEN
## 2392 927572 311000 12/15/2015 0:00 JUDD STREET CAMDEN
## 2393 592112 310000 04/30/2015 0:00 CAMDEN HIGH STREET CAMDEN
## 2394 593396 310000 02/17/2015 0:00 MINSTER ROAD CAMDEN
## 2395 594040 310000 09/02/2015 0:00 MAITLAND PARK ROAD CAMDEN
## 2396 594384 310000 06/11/2015 0:00 BELSIZE GROVE CAMDEN
## 2397 927492 310000 04/08/2015 0:00 WOBURN PLACE CAMDEN
## 2398 927497 310000 11/13/2015 0:00 WOBURN PLACE CAMDEN
## 2399 927499 310000 03/27/2015 0:00 WOBURN PLACE CAMDEN
## 2400 927502 310000 08/03/2015 0:00 WOBURN PLACE CAMDEN
## 2401 927505 310000 12/03/2015 0:00 WOBURN PLACE CAMDEN
## 2402 927512 310000 01/09/2015 0:00 WOBURN PLACE CAMDEN
## 2403 927513 310000 01/06/2015 0:00 WOBURN PLACE CAMDEN
## 2404 927491 307500 12/31/2015 0:00 WOBURN PLACE CAMDEN
## 2405 594374 307000 04/15/2015 0:00 BELSIZE GROVE CAMDEN
## 2406 595186 306000 03/04/2015 0:00 GORDON HOUSE ROAD CAMDEN
## 2407 595208 305000 06/01/2015 0:00 WOODSOME ROAD CAMDEN
## 2408 595603 305000 09/23/2015 0:00 SUMATRA ROAD CAMDEN
## 2409 912197 305000 12/07/2015 0:00 CONWAY STREET CAMDEN
## 2410 927515 305000 06/03/2015 0:00 WOBURN PLACE CAMDEN
## 2411 927575 305000 01/14/2015 0:00 JUDD STREET CAMDEN
## 2412 595887 304000 03/24/2015 0:00 FAIRHAZEL GARDENS CAMDEN
## 2413 512319 300000 09/04/2015 0:00 BRECKNOCK ROAD CAMDEN
## 2414 592571 300000 03/24/2015 0:00 EVERSHOLT STREET CAMDEN
## 2415 593014 300000 01/13/2015 0:00 SOUTH VILLAS CAMDEN
## 2416 593057 300000 02/04/2015 0:00 MURRAY STREET CAMDEN
## 2417 594041 300000 07/07/2015 0:00 MAITLAND PARK ROAD CAMDEN
## 2418 595791 300000 06/18/2015 0:00 CANFIELD GARDENS CAMDEN
## 2419 596076 300000 05/22/2015 0:00 GREVILLE ROAD CAMDEN
## 2420 596099 300000 03/11/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2421 927508 300000 12/14/2015 0:00 WOBURN PLACE CAMDEN
## 2422 927570 300000 03/02/2015 0:00 JUDD STREET CAMDEN
## 2423 595406 299950 02/19/2015 0:00 MODBURY GARDENS CAMDEN
## 2424 594198 299000 09/10/2015 0:00 FELLOWS ROAD CAMDEN
## 2425 927762 297300 09/21/2015 0:00 MACKLIN STREET CAMDEN
## 2426 927510 297000 08/21/2015 0:00 WOBURN PLACE CAMDEN
## 2427 594390 296000 05/15/2015 0:00 BELSIZE GROVE CAMDEN
## 2428 927596 295018 07/09/2015 0:00 HUNTER STREET CAMDEN
## 2429 595893 295000 01/19/2015 0:00 BELSIZE ROAD CAMDEN
## 2430 596108 293000 07/06/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2431 595857 290000 11/03/2015 0:00 GREENCROFT GARDENS CAMDEN
## 2432 927549 288888 09/14/2015 0:00 TAVISTOCK SQUARE CAMDEN
## 2433 595590 287000 09/25/2015 0:00 MILL LANE CAMDEN
## 2434 594348 285000 04/21/2015 0:00 HAVERSTOCK HILL CAMDEN
## 2435 594391 285000 03/27/2015 0:00 BELSIZE GROVE CAMDEN
## 2436 595370 285000 02/27/2015 0:00 GRAFTON ROAD CAMDEN
## 2437 596106 285000 01/08/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2438 595206 284091 04/07/2015 0:00 ST ALBANS ROAD CAMDEN
## 2439 595895 280000 03/06/2015 0:00 BELSIZE ROAD CAMDEN
## 2440 592643 278000 03/16/2015 0:00 STANHOPE STREET CAMDEN
## 2441 594186 277000 03/11/2015 0:00 FELLOWS ROAD CAMDEN
## 2442 593065 275000 09/18/2015 0:00 AGAR GROVE CAMDEN
## 2443 593426 275000 12/17/2015 0:00 FORDWYCH ROAD CAMDEN
## 2444 593430 275000 02/23/2015 0:00 FORDWYCH ROAD CAMDEN
## 2445 595210 275000 08/14/2015 0:00 WOODSOME ROAD CAMDEN
## 2446 595722 275000 07/03/2015 0:00 NETHERWOOD STREET CAMDEN
## 2447 595351 274000 03/10/2015 0:00 RAGLAN STREET CAMDEN
## 2448 596101 274000 03/27/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2449 512317 273600 12/09/2015 0:00 BRECKNOCK ROAD CAMDEN
## 2450 596951 271000 12/21/2015 0:00 ABBEY ROAD CAMDEN
## 2451 594550 270000 08/13/2015 0:00 FINCHLEY ROAD CAMDEN
## 2452 594196 267500 02/24/2015 0:00 FELLOWS ROAD CAMDEN
## 2453 595894 266000 06/01/2015 0:00 BELSIZE ROAD CAMDEN
## 2454 515662 265000 04/08/2015 0:00 OAKESHOTT AVENUE CAMDEN
## 2455 595238 265000 12/18/2015 0:00 BARTHOLOMEW ROAD CAMDEN
## 2456 595242 265000 11/16/2015 0:00 OSENEY CRESCENT CAMDEN
## 2457 596102 265000 10/01/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2458 927493 264000 05/22/2015 0:00 WOBURN PLACE CAMDEN
## 2459 595201 260000 03/12/2015 0:00 ST ALBANS ROAD CAMDEN
## 2460 595399 260000 04/24/2015 0:00 PRINCE OF WALES ROAD CAMDEN
## 2461 595487 260000 11/23/2015 0:00 DENNINGTON PARK ROAD CAMDEN
## 2462 595891 260000 07/27/2015 0:00 BELSIZE ROAD CAMDEN
## 2463 596092 260000 07/08/2015 0:00 KILBURN PRIORY CAMDEN
## 2464 596097 260000 02/16/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2465 927557 260000 12/15/2015 0:00 TAVISTOCK SQUARE CAMDEN
## 2466 594440 259950 08/03/2015 0:00 FINCHLEY ROAD CAMDEN
## 2467 594560 255000 05/08/2015 0:00 FINCHLEY ROAD CAMDEN
## 2468 596096 255000 09/14/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2469 596107 255000 03/18/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2470 595905 253500 03/12/2015 0:00 ABBEY ROAD CAMDEN
## 2471 592611 252729 09/11/2015 0:00 COBOURG STREET CAMDEN
## 2472 592632 250000 07/29/2015 0:00 DRUMMOND STREET CAMDEN
## 2473 592932 250000 06/26/2015 0:00 BRIDGE APPROACH CAMDEN
## 2474 594194 250000 11/17/2015 0:00 FELLOWS ROAD CAMDEN
## 2475 595224 250000 07/07/2015 0:00 BURGHLEY ROAD CAMDEN
## 2476 595494 250000 06/26/2015 0:00 HOLMDALE ROAD CAMDEN
## 2477 595645 250000 02/27/2015 0:00 BLACKBURN ROAD CAMDEN
## 2478 596078 250000 03/06/2015 0:00 GREVILLE ROAD CAMDEN
## 2479 596949 250000 06/29/2015 0:00 LANGTRY ROAD CAMDEN
## 2480 927498 250000 12/22/2015 0:00 WOBURN PLACE CAMDEN
## 2481 927573 250000 06/05/2015 0:00 JUDD STREET CAMDEN
## 2482 594524 249000 04/13/2015 0:00 FROGNAL CAMDEN
## 2483 595688 249000 08/05/2015 0:00 BRASSEY ROAD CAMDEN
## 2484 593035 248000 02/02/2015 0:00 ROCHESTER TERRACE CAMDEN
## 2485 592086 245000 04/29/2015 0:00 CAMDEN STREET CAMDEN
## 2486 595241 245000 12/07/2015 0:00 OSENEY CRESCENT CAMDEN
## 2487 594340 240600 03/12/2015 0:00 HAVERSTOCK HILL CAMDEN
## 2488 592899 240000 01/30/2015 0:00 MORNINGTON TERRACE CAMDEN
## 2489 593351 240000 05/15/2015 0:00 RONDU ROAD CAMDEN
## 2490 597008 240000 10/29/2015 0:00 ROWLEY WAY CAMDEN
## 2491 927490 240000 05/22/2015 0:00 WOBURN PLACE CAMDEN
## 2492 912145 237950 01/16/2015 0:00 CHARLOTTE PLACE CAMDEN
## 2493 596100 235000 05/26/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2494 593452 230000 04/24/2015 0:00 SHOOT UP HILL CAMDEN
## 2495 596104 230000 05/15/2015 0:00 MORTIMER CRESCENT CAMDEN
## 2496 596950 227300 06/08/2015 0:00 ABBEY ROAD CAMDEN
## 2497 927504 227000 09/11/2015 0:00 WOBURN PLACE CAMDEN
## 2498 595644 225000 02/27/2015 0:00 BLACKBURN ROAD CAMDEN
## 2499 927547 225000 03/19/2015 0:00 THANET STREET CAMDEN
## 2500 594129 224287 12/16/2015 0:00 BARN FIELD CAMDEN
## 2501 594053 220000 05/05/2015 0:00 MANSFIELD ROAD CAMDEN
## 2502 594347 220000 01/12/2015 0:00 HAVERSTOCK HILL CAMDEN
## 2503 595523 220000 02/17/2015 0:00 FORTUNE GREEN ROAD CAMDEN
## 2504 595593 220000 01/19/2015 0:00 MILL LANE CAMDEN
## 2505 927550 220000 04/22/2015 0:00 TAVISTOCK SQUARE CAMDEN
## 2506 595513 218000 04/02/2015 0:00 FORTUNE GREEN ROAD CAMDEN
## 2507 597004 215000 08/21/2015 0:00 DORMAN WAY CAMDEN
## 2508 927552 215000 12/21/2015 0:00 TAVISTOCK SQUARE CAMDEN
## 2509 594345 204270 06/01/2015 0:00 HAVERSTOCK HILL CAMDEN
## 2510 594407 203741 07/10/2015 0:00 BELSIZE LANE CAMDEN
## 2511 595522 201250 10/05/2015 0:00 FORTUNE GREEN ROAD CAMDEN
## 2512 595463 200000 12/18/2015 0:00 BASSETT STREET CAMDEN
## 2513 927823 198750 03/30/2015 0:00 EARNSHAW STREET CAMDEN
## 2514 593087 197800 12/10/2015 0:00 BROADFIELD LANE CAMDEN
## 2515 927684 197300 03/09/2015 0:00 MOUNT PLEASANT CAMDEN
## 2516 594052 185000 06/24/2015 0:00 MANSFIELD ROAD CAMDEN
## 2517 594663 185000 07/21/2015 0:00 REDINGTON ROAD CAMDEN
## 2518 512489 180000 11/27/2015 0:00 YORK WAY CAMDEN
## 2519 512490 180000 08/14/2015 0:00 YORK WAY CAMDEN
## 2520 595592 180000 03/20/2015 0:00 MILL LANE CAMDEN
## 2521 595600 180000 01/15/2015 0:00 SANDWELL CRESCENT CAMDEN
## 2522 595911 180000 07/29/2015 0:00 KILBURN HIGH ROAD CAMDEN
## 2523 595689 175000 10/15/2015 0:00 BRASSEY ROAD CAMDEN
## 2524 927591 170000 11/10/2015 0:00 MARCHMONT STREET CAMDEN
## 2525 594012 164000 05/28/2015 0:00 HAVERSTOCK HILL CAMDEN
## 2526 594327 158000 01/19/2015 0:00 CROSSFIELD ROAD CAMDEN
## 2527 592106 150000 07/02/2015 0:00 CAMDEN HIGH STREET CAMDEN
## 2528 595904 142300 02/23/2015 0:00 ABBEY ROAD CAMDEN
## 2529 593434 140000 04/30/2015 0:00 FORDWYCH ROAD CAMDEN
## 2530 594508 136500 05/18/2015 0:00 VANE CLOSE CAMDEN
## 2531 594133 116000 01/27/2015 0:00 LAWN ROAD CAMDEN
## 2532 594424 107500 08/10/2015 0:00 COLLEGE CRESCENT CAMDEN
## 2533 927585 100000 02/18/2015 0:00 TAVISTOCK PLACE CAMDEN
## 2534 593401 98253 12/18/2015 0:00 MINSTER ROAD CAMDEN
## 2535 594324 95000 09/17/2015 0:00 CROSSFIELD ROAD CAMDEN
## 2536 927586 88000 11/26/2015 0:00 TAVISTOCK PLACE CAMDEN
## 2537 597009 87300 03/09/2015 0:00 ROWLEY WAY CAMDEN
## 2538 595473 80000 10/08/2015 0:00 GRAFTON ROAD CAMDEN
## 2539 927650 75000 02/03/2015 0:00 LAMBS CONDUIT STREET CAMDEN
## 2540 592881 70000 07/15/2015 0:00 CAMDEN HIGH STREET CAMDEN
## 2541 595757 67000 06/23/2015 0:00 ACOL ROAD CAMDEN
## 2542 595258 65000 09/18/2015 0:00 FORTESS ROAD CAMDEN
## 2543 595924 56500 08/13/2015 0:00 MESSINA AVENUE CAMDEN
## 2544 595734 3000 10/19/2015 0:00 COTLEIGH ROAD CAMDEN
## 2545 927642 2900 07/07/2015 0:00 MILLMAN STREET CAMDEN
## 2546 595527 400 03/02/2015 0:00 AGAMEMNON ROAD CAMDEN
## 2547 595609 400 04/23/2015 0:00 SUMATRA ROAD CAMDEN
## Region Postcode oseast1m osnrth1m
## 1 GREATER LONDON NW86HS 527076 183790
## 2 GREATER LONDON NW37DJ 525813 185524
## 3 GREATER LONDON NW37XA 525779 186084
## 4 GREATER LONDON NW36UU 526159 185603
## 5 GREATER LONDON N66JU 528177 187307
## 6 GREATER LONDON NW18XH 527818 184013
## 7 GREATER LONDON NW14ND 528756 182768
## 8 GREATER LONDON NW34EE 526693 184611
## 9 GREATER LONDON NW37DJ 525813 185524
## 10 GREATER LONDON NW37JH 526633 187131
## 11 GREATER LONDON NW14HJ 528661 183198
## 12 GREATER LONDON NW37HP 526191 186886
## 13 GREATER LONDON NW37LR 526061 185950
## 14 GREATER LONDON NW17TL 528374 183727
## 15 GREATER LONDON NW14ND 528756 182768
## 16 GREATER LONDON NW18YA 528060 184103
## 17 GREATER LONDON NW37SD 525569 185561
## 18 GREATER LONDON N66PA 528144 186864
## 19 GREATER LONDON NW14AB 528635 183373
## 20 GREATER LONDON NW32UP 527617 184980
## 21 GREATER LONDON NW37NA 526007 186207
## 22 GREATER LONDON NW34HN 526971 184787
## 23 GREATER LONDON NW86BR 527287 183670
## 24 GREATER LONDON NW14AE 528707 183342
## 25 GREATER LONDON NW32TN 527471 185831
## 26 GREATER LONDON NW33BT 527258 183965
## 27 GREATER LONDON NW34SS 527736 184470
## 28 GREATER LONDON N66HN 527973 187231
## 29 GREATER LONDON NW35DJ 526740 184481
## 30 GREATER LONDON NW37QX 525980 185674
## 31 GREATER LONDON NW36PY 525949 185271
## 32 GREATER LONDON NW32XB 527531 185083
## 33 GREATER LONDON NW35PT 526857 185443
## 34 GREATER LONDON N66HN 527973 187231
## 35 GREATER LONDON NW34ST 527876 184457
## 36 GREATER LONDON NW36BJ 526145 185154
## 37 GREATER LONDON N66JR 528171 186465
## 38 GREATER LONDON NW31LH 526674 186102
## 39 GREATER LONDON NW35QE 526820 185201
## 40 GREATER LONDON NW61JD 525825 185182
## 41 GREATER LONDON NW33BS 527094 183871
## 42 GREATER LONDON NW37JH 526633 187131
## 43 GREATER LONDON NW33BS 527094 183871
## 44 GREATER LONDON NW32RU 527127 185588
## 45 GREATER LONDON EC1M3JB 531481 181866
## 46 GREATER LONDON NW35LB 526549 184541
## 47 GREATER LONDON NW17TU 528366 183821
## 48 GREATER LONDON NW14AE 528707 183342
## 49 GREATER LONDON NW31AB 526417 186073
## 50 GREATER LONDON WC1H0DD 529767 182470
## 51 GREATER LONDON NW32SB 527278 185719
## 52 GREATER LONDON NW22BT 524996 185833
## 53 GREATER LONDON NW31TT 526663 185809
## 54 GREATER LONDON NW31TY 526606 185848
## 55 GREATER LONDON N66LX 528103 187076
## 56 GREATER LONDON NW36BH 526141 185210
## 57 GREATER LONDON NW61HH 525561 185080
## 58 GREATER LONDON WC1N3HB 530741 181924
## 59 GREATER LONDON NW35LB 526549 184541
## 60 GREATER LONDON NW14NB 528763 182943
## 61 GREATER LONDON NW18YL 527918 184051
## 62 GREATER LONDON NW33DL 527351 184095
## 63 GREATER LONDON NW18XP 527998 184193
## 64 GREATER LONDON NW18XB 527838 184072
## 65 GREATER LONDON NW32UD 527566 185804
## 66 GREATER LONDON NW34TR 527415 184906
## 67 GREATER LONDON NW18XB 527838 184072
## 68 GREATER LONDON NW31TX 526563 185755
## 69 GREATER LONDON NW37RX 525769 185966
## 70 GREATER LONDON NW63DD 525952 184466
## 71 GREATER LONDON NW63EP 525827 184019
## 72 GREATER LONDON NW35AU 526745 184738
## 73 GREATER LONDON NW63AJ 525849 184160
## 74 GREATER LONDON NW14AE 528707 183342
## 75 GREATER LONDON NW34LT 527331 184975
## 76 GREATER LONDON NW37SS 525483 185834
## 77 GREATER LONDON NW31TT 526663 185809
## 78 GREATER LONDON NW18LA 528082 184132
## 79 GREATER LONDON N66HN 527973 187231
## 80 GREATER LONDON NW31AL 526611 186231
## 81 GREATER LONDON NW61HH 525561 185080
## 82 GREATER LONDON NW33AR 527835 184131
## 83 GREATER LONDON NW17HY 528736 184009
## 84 GREATER LONDON NW32XB 527531 185083
## 85 GREATER LONDON WC1N3DP 530747 181988
## 86 GREATER LONDON WC1N3DP 530747 181988
## 87 GREATER LONDON NW35DB 526749 184917
## 88 GREATER LONDON NW80RH 525941 183618
## 89 GREATER LONDON NW31HA 526554 185818
## 90 GREATER LONDON NW37PR 525204 186077
## 91 GREATER LONDON NW31EA 526342 186297
## 92 GREATER LONDON NW36PX 526030 185277
## 93 GREATER LONDON NW13DS 529186 182430
## 94 GREATER LONDON NW14DX 528821 182337
## 95 GREATER LONDON NW31UB 526634 185840
## 96 GREATER LONDON NW36PY 525949 185271
## 97 GREATER LONDON NW33DS 527440 184096
## 98 GREATER LONDON NW35LB 526549 184541
## 99 GREATER LONDON NW32XB 527531 185083
## 100 GREATER LONDON NW36PZ 526227 185918
## 101 GREATER LONDON NW36PZ 526227 185918
## 102 GREATER LONDON NW37EX 526056 186730
## 103 GREATER LONDON NW14AB 528635 183373
## 104 GREATER LONDON NW36UU 526159 185603
## 105 GREATER LONDON NW32SY 527345 185730
## 106 GREATER LONDON NW34EE 526693 184611
## 107 GREATER LONDON NW34EE 526693 184611
## 108 GREATER LONDON NW31AY 526515 186529
## 109 GREATER LONDON NW31EL 526659 186172
## 110 GREATER LONDON NW35QA 526632 185316
## 111 GREATER LONDON NW31EL 526659 186172
## 112 GREATER LONDON NW34NX 526921 184614
## 113 GREATER LONDON NW11TP 529312 183437
## 114 GREATER LONDON NW63DD 525952 184466
## 115 GREATER LONDON N66HR 527890 187158
## 116 GREATER LONDON NW34HU 527010 184719
## 117 GREATER LONDON NW37NL 525288 186205
## 118 GREATER LONDON W1T5DS 529235 182129
## 119 GREATER LONDON WC2H9LH 530121 181085
## 120 GREATER LONDON NW64RX 526449 184216
## 121 GREATER LONDON NW37RX 525769 185966
## 122 GREATER LONDON NW63HB 526302 184424
## 123 GREATER LONDON WC1N2AD 530698 182357
## 124 GREATER LONDON NW51SU 528686 186003
## 125 GREATER LONDON NW31JS 526565 186042
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## 211 GREATER LONDON NW32PN 527151 185481
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## 231 GREATER LONDON NW31QA 526515 185693
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## 241 GREATER LONDON NW23SR 524654 185228
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## 244 GREATER LONDON NW86QT 526788 184024
## 245 GREATER LONDON WC1B3AG 529872 181529
## 246 GREATER LONDON WC1B3AG 529872 181529
## 247 GREATER LONDON N66ND 527994 186891
## 248 GREATER LONDON NW33AS 527788 184061
## 249 GREATER LONDON NW33HR 526866 184472
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## 252 GREATER LONDON NW35NT 526852 185232
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## 254 GREATER LONDON NW51JJ 528902 186483
## 255 GREATER LONDON WC1N2BF 530793 182087
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## 300 GREATER LONDON NW14HP 528687 183107
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## 535 GREATER LONDON EC1N8JE 531278 181968
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## 544 GREATER LONDON NW63NT 525705 184388
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## 547 GREATER LONDON WC1N2ES 530891 181990
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## 594 GREATER LONDON N195DG 528851 186516
## 595 GREATER LONDON NW51DH 528900 186050
## 596 GREATER LONDON NW53EH 528636 184806
## 597 GREATER LONDON NW61BL 525223 185155
## 598 GREATER LONDON N66AS 528234 186384
## 599 GREATER LONDON NW18SJ 528781 184639
## 600 GREATER LONDON NW35JY 526554 184775
## 601 GREATER LONDON NW52PJ 529079 185258
## 602 GREATER LONDON NW18JA 528050 184206
## 603 GREATER LONDON NW61XL 525476 184929
## 604 GREATER LONDON WC1N2PA 530789 182064
## 605 GREATER LONDON NW35JY 526554 184775
## 606 GREATER LONDON NW34SR 527782 184528
## 607 GREATER LONDON NW52PJ 529079 185258
## 608 GREATER LONDON NW34XL 527576 184772
## 609 GREATER LONDON NW52LG 529279 184717
## 610 GREATER LONDON NW13DS 529186 182430
## 611 GREATER LONDON NW32TN 527471 185831
## 612 GREATER LONDON NW17SA 528727 183590
## 613 GREATER LONDON NW32XR 527570 185231
## 614 GREATER LONDON N1C4AS 530301 183608
## 615 GREATER LONDON NW12AR 530073 182874
## 616 GREATER LONDON NW17SY 528155 183744
## 617 GREATER LONDON NW18DB 528625 184337
## 618 GREATER LONDON NW19LR 529151 184153
## 619 GREATER LONDON NW32PJ 527077 185520
## 620 GREATER LONDON NW34EA 526787 184734
## 621 GREATER LONDON NW34LB 526983 184840
## 622 GREATER LONDON NW34NX 526921 184614
## 623 GREATER LONDON NW35QX 526819 184951
## 624 GREATER LONDON NW35QY 526773 184982
## 625 GREATER LONDON NW37AU 525558 185394
## 626 GREATER LONDON NW61HR 525659 185206
## 627 GREATER LONDON NW61UP 525321 185309
## 628 GREATER LONDON NW64QA 525438 184024
## 629 GREATER LONDON NW86RG 526776 183785
## 630 GREATER LONDON WC1R5DJ 530946 181676
## 631 GREATER LONDON WC2H9RG 530219 181243
## 632 GREATER LONDON NW53EH 528636 184806
## 633 GREATER LONDON NW31QZ 526505 185767
## 634 GREATER LONDON NW51BX 528726 185964
## 635 GREATER LONDON NW32NP 527774 185618
## 636 GREATER LONDON W1T4LZ 529393 181681
## 637 GREATER LONDON NW33JY 527274 184370
## 638 GREATER LONDON NW34DJ 527176 184931
## 639 GREATER LONDON NW34XU 527519 184786
## 640 GREATER LONDON NW61AJ 525229 185362
## 641 GREATER LONDON NW61QZ 525396 185104
## 642 GREATER LONDON NW86RJ 526776 183785
## 643 GREATER LONDON WC1B3AD 529922 181546
## 644 GREATER LONDON NW51EG 528597 186094
## 645 GREATER LONDON NW34NX 526921 184614
## 646 GREATER LONDON NW34LH 527144 184828
## 647 GREATER LONDON NW35DH 526820 184576
## 648 GREATER LONDON NW37AJ 525139 186003
## 649 GREATER LONDON NW52PJ 529079 185258
## 650 GREATER LONDON NW12HP 529366 182666
## 651 GREATER LONDON NW13DE 528942 182369
## 652 GREATER LONDON NW17HP 528877 183758
## 653 GREATER LONDON NW18YD 527988 183966
## 654 GREATER LONDON NW31ND 526713 185618
## 655 GREATER LONDON NW33QR 527802 184211
## 656 GREATER LONDON NW34EA 526787 184734
## 657 GREATER LONDON NW34LU 527289 184879
## 658 GREATER LONDON NW35DP 526630 184429
## 659 GREATER LONDON NW35UA 526596 185559
## 660 GREATER LONDON NW35UB 526596 185559
## 661 GREATER LONDON NW36DL 525762 185330
## 662 GREATER LONDON NW51DA 528900 186087
## 663 GREATER LONDON NW52JE 529333 185549
## 664 GREATER LONDON NW53DA 528874 184875
## 665 GREATER LONDON NW53EH 528636 184806
## 666 GREATER LONDON NW53LN 528577 184740
## 667 GREATER LONDON NW53LW 528876 184684
## 668 GREATER LONDON NW61DZ 525055 185367
## 669 GREATER LONDON NW61UN 525263 185341
## 670 GREATER LONDON NW63HB 526302 184424
## 671 GREATER LONDON WC2H8AB 529978 181306
## 672 GREATER LONDON W1T5BF 529321 182087
## 673 GREATER LONDON NW63HR 526070 184105
## 674 GREATER LONDON NW17NR 528919 183512
## 675 GREATER LONDON NW35UJ 526902 185461
## 676 GREATER LONDON NW61PT 525071 184986
## 677 GREATER LONDON NW19PH 529063 184184
## 678 GREATER LONDON NW34HT 526963 184696
## 679 GREATER LONDON NW31RY 526800 185727
## 680 GREATER LONDON NW52QE 529219 185181
## 681 GREATER LONDON NW54JR 527927 185125
## 682 GREATER LONDON NW63EB 525973 184406
## 683 GREATER LONDON NW63EB 525973 184406
## 684 GREATER LONDON NW14EB 528814 182489
## 685 GREATER LONDON NW18DU 528504 184395
## 686 GREATER LONDON NW33AA 527518 184498
## 687 GREATER LONDON NW34BL 526971 184982
## 688 GREATER LONDON NW35PL 526679 185398
## 689 GREATER LONDON NW35UH 526791 185539
## 690 GREATER LONDON WC2B5NH 530342 181337
## 691 GREATER LONDON NW63AL 525998 184180
## 692 GREATER LONDON NW35NL 526859 185343
## 693 GREATER LONDON NW34XL 527576 184772
## 694 GREATER LONDON NW35AT 526919 184974
## 695 GREATER LONDON NW35DJ 526740 184481
## 696 GREATER LONDON NW61UN 525263 185341
## 697 GREATER LONDON NW17SA 528727 183590
## 698 GREATER LONDON NW62DD 524896 184339
## 699 GREATER LONDON NW23LU 524048 185600
## 700 GREATER LONDON NW61SP 525518 185040
## 701 GREATER LONDON NW13EJ 529157 182605
## 702 GREATER LONDON NW62NR 525278 184319
## 703 GREATER LONDON NW18TN 528038 183933
## 704 GREATER LONDON NW53HD 528358 184789
## 705 GREATER LONDON NW53HL 528370 184718
## 706 GREATER LONDON NW33HJ 526968 184468
## 707 GREATER LONDON NW18HX 528106 184158
## 708 GREATER LONDON NW19DA 529538 184534
## 709 GREATER LONDON NW34LT 527331 184975
## 710 GREATER LONDON NW34SE 527716 184534
## 711 GREATER LONDON NW37BG 525310 185587
## 712 GREATER LONDON NW37BG 525310 185587
## 713 GREATER LONDON NW54JJ 528064 185070
## 714 GREATER LONDON NW54JP 527983 185083
## 715 GREATER LONDON NW61BP 525310 185030
## 716 GREATER LONDON NW61HR 525659 185206
## 717 GREATER LONDON NW62HL 525368 184755
## 718 GREATER LONDON NW86DD 527359 183692
## 719 GREATER LONDON NW87QN 527530 183598
## 720 GREATER LONDON WC1E6AJ 529606 181933
## 721 GREATER LONDON NW17HT 528961 183604
## 722 GREATER LONDON NW32AT 527486 185007
## 723 GREATER LONDON NW51PR 528392 185843
## 724 GREATER LONDON NW32TX 527517 185773
## 725 GREATER LONDON NW35LT 526599 185063
## 726 GREATER LONDON NW52TA 529508 185116
## 727 GREATER LONDON NW31SP 526969 185820
## 728 GREATER LONDON NW12HP 529366 182666
## 729 GREATER LONDON NW17BQ 528513 183754
## 730 GREATER LONDON NW33EN 527227 184438
## 731 GREATER LONDON NW34SR 527782 184528
## 732 GREATER LONDON NW36SX 526328 186077
## 733 GREATER LONDON NW37EA 525740 185400
## 734 GREATER LONDON NW63NS 525708 184528
## 735 GREATER LONDON NW12JJ 529245 183220
## 736 GREATER LONDON NW37EA 525740 185400
## 737 GREATER LONDON NW61SH 525594 185002
## 738 GREATER LONDON NW37SG 525393 185756
## 739 GREATER LONDON NW63AJ 525849 184160
## 740 GREATER LONDON NW33HX 526769 184444
## 741 GREATER LONDON NW63AN 526112 184244
## 742 GREATER LONDON NW63SR 525971 184583
## 743 GREATER LONDON NW52LN 529245 184687
## 744 GREATER LONDON NW54JD 528033 185028
## 745 GREATER LONDON NW18HS 528100 184000
## 746 GREATER LONDON NW18TU 528140 184034
## 747 GREATER LONDON NW61QD 524894 185230
## 748 GREATER LONDON NW64PU 525388 184081
## 749 GREATER LONDON NW17BQ 528513 183754
## 750 GREATER LONDON NW80DP 526457 183985
## 751 GREATER LONDON NW36PD 526531 185385
## 752 GREATER LONDON WC1X9LS 530806 182669
## 753 GREATER LONDON NW51PD 528604 185882
## 754 GREATER LONDON NW34LL 527305 185001
## 755 GREATER LONDON NW18LA 528082 184132
## 756 GREATER LONDON NW17BQ 528513 183754
## 757 GREATER LONDON NW17HP 528877 183758
## 758 GREATER LONDON NW33LH 527417 184459
## 759 GREATER LONDON NW35AB 527024 185293
## 760 GREATER LONDON NW36DJ 525832 185312
## 761 GREATER LONDON NW36HT 526612 184282
## 762 GREATER LONDON NW63HT 526233 184320
## 763 GREATER LONDON NW51BY 528727 185930
## 764 GREATER LONDON N1C4AT 530301 183608
## 765 GREATER LONDON NW35UP 526698 185578
## 766 GREATER LONDON NW53EH 528636 184806
## 767 GREATER LONDON NW53EH 528636 184806
## 768 GREATER LONDON NW63QA 526011 184141
## 769 GREATER LONDON WC1H9HG 529822 182403
## 770 GREATER LONDON WC1N3EP 530679 182116
## 771 GREATER LONDON WC1R5DJ 530946 181676
## 772 GREATER LONDON WC1B3AD 529922 181546
## 773 GREATER LONDON NW31AS 526562 186490
## 774 GREATER LONDON NW32TJ 527545 185998
## 775 GREATER LONDON NW37EA 525740 185400
## 776 GREATER LONDON NW61DQ 525157 185532
## 777 GREATER LONDON NW62AU 525314 184527
## 778 GREATER LONDON NW32UD 527566 185804
## 779 GREATER LONDON NW35JY 526554 184775
## 780 GREATER LONDON NW37EA 525740 185400
## 781 GREATER LONDON NW53LW 528876 184684
## 782 GREATER LONDON NW61BP 525310 185030
## 783 GREATER LONDON NW61HX 525592 184946
## 784 GREATER LONDON NW63NS 525708 184528
## 785 GREATER LONDON W1T2AH 529482 181823
## 786 GREATER LONDON NW32SY 527345 185730
## 787 GREATER LONDON EC1N8QX 531388 181995
## 788 GREATER LONDON N66EU 528550 186805
## 789 GREATER LONDON NW33RP 527774 184253
## 790 GREATER LONDON NW34AE 527110 185047
## 791 GREATER LONDON NW34BL 526971 184982
## 792 GREATER LONDON NW34YD 527527 184564
## 793 GREATER LONDON NW61QT 525408 185073
## 794 GREATER LONDON NW63GB 525599 184443
## 795 GREATER LONDON NW63HS 526158 184154
## 796 GREATER LONDON NW62NR 525278 184319
## 797 GREATER LONDON WC1N2PF 530709 182167
## 798 GREATER LONDON NW17DE 528559 184049
## 799 GREATER LONDON NW33DR 527337 184014
## 800 GREATER LONDON NW33RP 527774 184253
## 801 GREATER LONDON NW34LH 527144 184828
## 802 GREATER LONDON NW36AG 526272 185148
## 803 GREATER LONDON NW34LT 527331 184975
## 804 GREATER LONDON NW17DE 528559 184049
## 805 GREATER LONDON NW34SA 527644 184523
## 806 GREATER LONDON NW53DJ 528838 184835
## 807 GREATER LONDON NW63DN 526017 184568
## 808 GREATER LONDON NW36PU 526064 185307
## 809 GREATER LONDON NW33DL 527351 184095
## 810 GREATER LONDON NW31SY 526776 185700
## 811 GREATER LONDON NW34BG 527203 185091
## 812 GREATER LONDON WC2H8AB 529978 181306
## 813 GREATER LONDON NW14DX 528821 182337
## 814 GREATER LONDON NW32BG 527838 184707
## 815 GREATER LONDON NW32QT 527600 185444
## 816 GREATER LONDON NW33ET 526943 184407
## 817 GREATER LONDON NW33ND 526858 184224
## 818 GREATER LONDON NW35QN 526939 185205
## 819 GREATER LONDON NW51EU 528680 186390
## 820 GREATER LONDON NW61NP 524902 184993
## 821 GREATER LONDON NW63PH 525897 184266
## 822 GREATER LONDON NW63RL 525505 184340
## 823 GREATER LONDON NW63SJ 526181 184296
## 824 GREATER LONDON NW86NT 526682 183909
## 825 GREATER LONDON WC1A1JN 530166 181492
## 826 GREATER LONDON WC1N3ER 530698 182065
## 827 GREATER LONDON EC1N8ER 531341 181904
## 828 GREATER LONDON NW34HU 527010 184719
## 829 GREATER LONDON NW36PU 526064 185307
## 830 GREATER LONDON W1T5EG 529217 182202
## 831 GREATER LONDON WC1X8HR 531114 181737
## 832 GREATER LONDON WC1X8HR 531114 181737
## 833 GREATER LONDON NW31RY 526800 185727
## 834 GREATER LONDON NW35TY 526596 185559
## 835 GREATER LONDON NW52QP 529449 185272
## 836 GREATER LONDON NW63SR 525971 184583
## 837 GREATER LONDON NW17SY 528155 183744
## 838 GREATER LONDON NW32LG 527807 185677
## 839 GREATER LONDON WC1X8UE 530712 182375
## 840 GREATER LONDON NW61HQ 525993 185083
## 841 GREATER LONDON NW17SA 528727 183590
## 842 GREATER LONDON WC1X8HR 531114 181737
## 843 GREATER LONDON NW10ET 529299 183451
## 844 GREATER LONDON NW31NH 526816 185576
## 845 GREATER LONDON NW35DP 526630 184429
## 846 GREATER LONDON NW51BE 528649 185854
## 847 GREATER LONDON NW62NN 525262 184270
## 848 GREATER LONDON N66BD 528327 187331
## 849 GREATER LONDON NW14JG 528780 182657
## 850 GREATER LONDON NW19XR 529934 184473
## 851 GREATER LONDON NW33HJ 526968 184468
## 852 GREATER LONDON NW34LT 527331 184975
## 853 GREATER LONDON NW35NS 526817 185101
## 854 GREATER LONDON NW37SJ 525346 185722
## 855 GREATER LONDON NW52EH 529245 184873
## 856 GREATER LONDON NW61BE 525337 185054
## 857 GREATER LONDON NW61LL 525507 185245
## 858 GREATER LONDON NW63NS 525708 184528
## 859 GREATER LONDON W1T4LZ 529393 181681
## 860 GREATER LONDON WC1R4PZ 530765 181733
## 861 GREATER LONDON NW61EZ 524696 185402
## 862 GREATER LONDON WC1H9SH 530054 182389
## 863 GREATER LONDON WC1X0JS 530836 182296
## 864 GREATER LONDON NW36XT 526091 185829
## 865 GREATER LONDON NW32RL 527188 185678
## 866 GREATER LONDON NW35SL 526433 184722
## 867 GREATER LONDON NW63HA 526263 184266
## 868 GREATER LONDON NW52HX 529191 185622
## 869 GREATER LONDON NW37QY 525830 185730
## 870 GREATER LONDON NW64ND 525303 184194
## 871 GREATER LONDON NW63HP 525964 184058
## 872 GREATER LONDON W1T5LR 529168 182196
## 873 GREATER LONDON WC1A2JR 530255 181628
## 874 GREATER LONDON NW54BB 528515 184969
## 875 GREATER LONDON NW61DP 525165 185762
## 876 GREATER LONDON NW31SA 526709 185684
## 877 GREATER LONDON NW33HR 526866 184472
## 878 GREATER LONDON NW34LD 527056 184865
## 879 GREATER LONDON NW35PL 526679 185398
## 880 GREATER LONDON NW35UP 526698 185578
## 881 GREATER LONDON NW53LW 528876 184684
## 882 GREATER LONDON NW61BL 525223 185155
## 883 GREATER LONDON NW61JX 525426 185367
## 884 GREATER LONDON NW62EG 525046 184795
## 885 GREATER LONDON NW63HR 526070 184105
## 886 GREATER LONDON NW63QT 526150 184651
## 887 GREATER LONDON NW63RL 525505 184340
## 888 GREATER LONDON NW10JR 529124 183579
## 889 GREATER LONDON WC1N1DF 530328 182115
## 890 GREATER LONDON NW31RX 526811 185758
## 891 GREATER LONDON NW32NQ 527473 185507
## 892 GREATER LONDON EC1N8RU 531357 181964
## 893 GREATER LONDON NW13AD 529157 182243
## 894 GREATER LONDON NW18JD 528274 184047
## 895 GREATER LONDON NW35DA 526719 184867
## 896 GREATER LONDON NW35QJ 526934 185246
## 897 GREATER LONDON NW51NA 528358 185803
## 898 GREATER LONDON NW52HD 529039 185383
## 899 GREATER LONDON NW17SU 528082 183733
## 900 GREATER LONDON NW32AY 527623 184882
## 901 GREATER LONDON WC2H8DY 530134 181383
## 902 GREATER LONDON NW10HU 529096 183903
## 903 GREATER LONDON NW13DS 529186 182430
## 904 GREATER LONDON NW36DL 525762 185330
## 905 GREATER LONDON NW61HY 525632 184904
## 906 GREATER LONDON NW37BB 525443 185493
## 907 GREATER LONDON NW53EH 528636 184806
## 908 GREATER LONDON NW64TG 526212 184072
## 909 GREATER LONDON WC1N2NS 530819 181993
## 910 GREATER LONDON NW53EL 528592 184897
## 911 GREATER LONDON NW17HP 528877 183758
## 912 GREATER LONDON NW19XL 529822 184435
## 913 GREATER LONDON NW32SB 527278 185719
## 914 GREATER LONDON NW33NT 526878 184268
## 915 GREATER LONDON NW35NL 526859 185343
## 916 GREATER LONDON NW35NL 526859 185343
## 917 GREATER LONDON NW35UA 526596 185559
## 918 GREATER LONDON NW36PZ 526227 185918
## 919 GREATER LONDON NW37AJ 525139 186003
## 920 GREATER LONDON NW52EH 529245 184873
## 921 GREATER LONDON WC1N1DF 530328 182115
## 922 GREATER LONDON NW14JG 528780 182657
## 923 GREATER LONDON NW64NA 525163 184129
## 924 GREATER LONDON NW18LP 528063 184002
## 925 GREATER LONDON NW32YD 527741 185110
## 926 GREATER LONDON NW52JD 529318 185513
## 927 GREATER LONDON NW64BG 526059 184003
## 928 GREATER LONDON N66NP 528108 186662
## 929 GREATER LONDON N66LX 528103 187076
## 930 GREATER LONDON NW37NN 525263 186060
## 931 GREATER LONDON NW34LH 527144 184828
## 932 GREATER LONDON EC1N8YS 531340 181945
## 933 GREATER LONDON NW17TL 528374 183727
## 934 GREATER LONDON NW33HR 526866 184472
## 935 GREATER LONDON NW34DU 526860 184865
## 936 GREATER LONDON NW53EL 528592 184897
## 937 GREATER LONDON NW61LL 525507 185245
## 938 GREATER LONDON NW61LL 525507 185245
## 939 GREATER LONDON NW63HB 526302 184424
## 940 GREATER LONDON NW63SR 525971 184583
## 941 GREATER LONDON NW80RY 526444 183932
## 942 GREATER LONDON WC2H9HB 530052 181159
## 943 GREATER LONDON NW35UH 526791 185539
## 944 GREATER LONDON NW19JJ 529080 184596
## 945 GREATER LONDON NW36HT 526612 184282
## 946 GREATER LONDON WC1R4RB 530583 181746
## 947 GREATER LONDON NW52XJ 529296 185442
## 948 GREATER LONDON NW18PA 528930 184383
## 949 GREATER LONDON NW18YA 528060 184103
## 950 GREATER LONDON NW19PU 528978 184337
## 951 GREATER LONDON NW31QA 526515 185693
## 952 GREATER LONDON NW32PS 527318 185471
## 953 GREATER LONDON NW33RP 527774 184253
## 954 GREATER LONDON NW34DA 527235 184897
## 955 GREATER LONDON NW35DR 526596 184482
## 956 GREATER LONDON NW53AW 528796 184734
## 957 GREATER LONDON NW63RH 525548 184339
## 958 GREATER LONDON NW86HY 526785 184061
## 959 GREATER LONDON WC1H9AB 529894 182576
## 960 GREATER LONDON WC1N1DF 530328 182115
## 961 GREATER LONDON WC1N1NZ 530247 182327
## 962 GREATER LONDON WC1X9JX 530733 182867
## 963 GREATER LONDON NW31LE 526630 185979
## 964 GREATER LONDON NW51UA 528840 185530
## 965 GREATER LONDON NW34UJ 527479 184682
## 966 GREATER LONDON NW63RY 525868 184486
## 967 GREATER LONDON NW34UP 527359 184784
## 968 GREATER LONDON NW17ER 529042 183409
## 969 GREATER LONDON NW34RT 527555 184874
## 970 GREATER LONDON NW62NR 525278 184319
## 971 GREATER LONDON NW10HX 529113 183970
## 972 GREATER LONDON NW34SS 527736 184470
## 973 GREATER LONDON NW62PT 525232 184479
## 974 GREATER LONDON NW64LG 525292 184246
## 975 GREATER LONDON NW34AJ 527095 184958
## 976 GREATER LONDON NW10QX 529420 183984
## 977 GREATER LONDON NW35DP 526630 184429
## 978 GREATER LONDON NW51HA 528791 186384
## 979 GREATER LONDON NW61JY 525449 185426
## 980 GREATER LONDON NW65HU 525605 183486
## 981 GREATER LONDON WC1X9NA 530770 182796
## 982 GREATER LONDON NW61JX 525426 185367
## 983 GREATER LONDON EC1N8UN 531384 181916
## 984 GREATER LONDON NW63EP 525827 184019
## 985 GREATER LONDON NW17BF 528512 183970
## 986 GREATER LONDON NW31ST 526827 185822
## 987 GREATER LONDON NW32YD 527741 185110
## 988 GREATER LONDON NW34PX 527107 185217
## 989 GREATER LONDON NW35PB 526672 185227
## 990 GREATER LONDON NW51BE 528649 185854
## 991 GREATER LONDON NW52NP 529284 185581
## 992 GREATER LONDON NW63QD 526119 184200
## 993 GREATER LONDON NW86BU 527193 183681
## 994 GREATER LONDON NW62NL 525339 184266
## 995 GREATER LONDON WC1E7AZ 529596 181992
## 996 GREATER LONDON NW14BT 528808 182567
## 997 GREATER LONDON NW32AY 527623 184882
## 998 GREATER LONDON NW32JU 528014 185689
## 999 GREATER LONDON NW53AN 528792 185033
## 1000 GREATER LONDON NW63NG 525623 184056
## 1001 GREATER LONDON NW64NA 525163 184129
## 1002 GREATER LONDON WC1H9HE 529822 182403
## 1003 GREATER LONDON WC1X9NL 530750 182815
## 1004 GREATER LONDON NW34UJ 527479 184682
## 1005 GREATER LONDON NW53DH 528850 184866
## 1006 GREATER LONDON NW19PX 528987 184460
## 1007 GREATER LONDON NW35EE 526694 184166
## 1008 GREATER LONDON NW35SL 526433 184722
## 1009 GREATER LONDON NW51BE 528649 185854
## 1010 GREATER LONDON NW53EH 528636 184806
## 1011 GREATER LONDON NW63HS 526158 184154
## 1012 GREATER LONDON EC1N8JJ 531255 181958
## 1013 GREATER LONDON NW17HP 528877 183758
## 1014 GREATER LONDON NW32AT 527486 185007
## 1015 GREATER LONDON NW33QX 527336 184156
## 1016 GREATER LONDON NW35RJ 526371 185235
## 1017 GREATER LONDON NW52XH 529294 185472
## 1018 GREATER LONDON NW87QJ 527471 183640
## 1019 GREATER LONDON WC2B5EG 530421 181431
## 1020 GREATER LONDON NW61BA 525409 185031
## 1021 GREATER LONDON WC2H9LN 530028 181067
## 1022 GREATER LONDON NW63DH 526144 184610
## 1023 GREATER LONDON WC1B5ER 530050 182088
## 1024 GREATER LONDON NW10AX 529058 183943
## 1025 GREATER LONDON NW17BJ 528512 183970
## 1026 GREATER LONDON NW32JY 528025 185607
## 1027 GREATER LONDON NW34LL 527305 185001
## 1028 GREATER LONDON NW34QR 527258 185151
## 1029 GREATER LONDON NW35DU 526699 184507
## 1030 GREATER LONDON NW35EE 526694 184166
## 1031 GREATER LONDON NW36AG 526272 185148
## 1032 GREATER LONDON NW64BG 526059 184003
## 1033 GREATER LONDON NW86HY 526785 184061
## 1034 GREATER LONDON NW35DP 526630 184429
## 1035 GREATER LONDON NW64BG 526059 184003
## 1036 GREATER LONDON EC1N8HP 531324 181979
## 1037 GREATER LONDON NW31SY 526776 185700
## 1038 GREATER LONDON NW31TL 526810 185872
## 1039 GREATER LONDON NW32PS 527318 185471
## 1040 GREATER LONDON NW32TD 527418 185967
## 1041 GREATER LONDON NW33QB 527927 184362
## 1042 GREATER LONDON NW34HT 526963 184696
## 1043 GREATER LONDON NW53DD 528912 184830
## 1044 GREATER LONDON NW54ET 528034 184858
## 1045 GREATER LONDON NW61EZ 524696 185402
## 1046 GREATER LONDON NW61JH 525591 185133
## 1047 GREATER LONDON NW61UT 525510 185104
## 1048 GREATER LONDON NW62DT 524896 184689
## 1049 GREATER LONDON NW62HA 525088 184515
## 1050 GREATER LONDON NW63PN 525536 184262
## 1051 GREATER LONDON N66JJ 528117 186450
## 1052 GREATER LONDON NW10HY 529156 183977
## 1053 GREATER LONDON NW11TN 529288 183385
## 1054 GREATER LONDON NW34NE 527438 184668
## 1055 GREATER LONDON NW61DF 525084 185571
## 1056 GREATER LONDON W1T4BP 529228 181981
## 1057 GREATER LONDON NW34LL 527305 185001
## 1058 GREATER LONDON NW33HU 526824 184491
## 1059 GREATER LONDON NW34SL 527837 184659
## 1060 GREATER LONDON NW10BJ 529167 183778
## 1061 GREATER LONDON NW35NL 526859 185343
## 1062 GREATER LONDON NW61RB 525468 185110
## 1063 GREATER LONDON WC1X9LX 530727 182748
## 1064 GREATER LONDON NW14EB 528814 182489
## 1065 GREATER LONDON NW17DN 529077 183482
## 1066 GREATER LONDON NW17HB 528745 183896
## 1067 GREATER LONDON NW51DA 528900 186087
## 1068 GREATER LONDON NW63HA 526263 184266
## 1069 GREATER LONDON NW23TG 524724 184845
## 1070 GREATER LONDON NW10HY 529156 183977
## 1071 GREATER LONDON NW54AT 528187 185438
## 1072 GREATER LONDON NW61EU 524737 185394
## 1073 GREATER LONDON NW61HY 525632 184904
## 1074 GREATER LONDON NW62AJ 525209 184414
## 1075 GREATER LONDON NW62DT 524896 184689
## 1076 GREATER LONDON NW62JG 525152 184329
## 1077 GREATER LONDON NW62PT 525232 184479
## 1078 GREATER LONDON NW63AA 525577 184104
## 1079 GREATER LONDON NW63NS 525708 184528
## 1080 GREATER LONDON NW63RH 525548 184339
## 1081 GREATER LONDON NW33EJ 527420 184566
## 1082 GREATER LONDON NW18YB 528009 184032
## 1083 GREATER LONDON NW34SB 527636 184510
## 1084 GREATER LONDON NW11RD 529577 183388
## 1085 GREATER LONDON NW14BG 528845 182918
## 1086 GREATER LONDON NW18YA 528060 184103
## 1087 GREATER LONDON NW34AG 527151 184984
## 1088 GREATER LONDON NW34UJ 527479 184682
## 1089 GREATER LONDON NW53HP 528369 184659
## 1090 GREATER LONDON NW53LN 528577 184740
## 1091 GREATER LONDON NW54EX 528056 184915
## 1092 GREATER LONDON NW54PG 528254 184914
## 1093 GREATER LONDON NW61EW 524780 185191
## 1094 GREATER LONDON NW61JR 525521 185319
## 1095 GREATER LONDON NW63HA 526263 184266
## 1096 GREATER LONDON WC1N2BG 530813 182069
## 1097 GREATER LONDON WC1R4LL 530815 181706
## 1098 GREATER LONDON NW34NG 527481 184615
## 1099 GREATER LONDON NW36AJ 526243 184981
## 1100 GREATER LONDON NW51BD 528979 185597
## 1101 GREATER LONDON N64RT 528093 187470
## 1102 GREATER LONDON N66PU 528494 186618
## 1103 GREATER LONDON NW17RY 528793 183587
## 1104 GREATER LONDON NW33NE 526858 184224
## 1105 GREATER LONDON NW34NS 526876 184598
## 1106 GREATER LONDON NW54DN 528482 185166
## 1107 GREATER LONDON NW61HT 525649 184981
## 1108 GREATER LONDON NW61PN 525262 184882
## 1109 GREATER LONDON NW32BD 527811 184730
## 1110 GREATER LONDON NW53BT 528815 184953
## 1111 GREATER LONDON NW61NT 524736 185126
## 1112 GREATER LONDON NW61QT 525408 185073
## 1113 GREATER LONDON NW63AG 525502 184135
## 1114 GREATER LONDON NW63HB 526302 184424
## 1115 GREATER LONDON WC1R4RB 530583 181746
## 1116 GREATER LONDON WC1H9RD 530042 182332
## 1117 GREATER LONDON NW35LL 526651 184498
## 1118 GREATER LONDON W1T4HJ 529299 182034
## 1119 GREATER LONDON NW11RE 529629 183310
## 1120 GREATER LONDON NW17HU 529052 183455
## 1121 GREATER LONDON NW19JS 529147 184418
## 1122 GREATER LONDON NW32TY 527636 185776
## 1123 GREATER LONDON NW35SN 526432 184764
## 1124 GREATER LONDON NW36LE 526323 184603
## 1125 GREATER LONDON NW52NF 528936 184792
## 1126 GREATER LONDON NW61EP 524835 185432
## 1127 GREATER LONDON NW61ER 524771 185407
## 1128 GREATER LONDON NW61PR 525102 184994
## 1129 GREATER LONDON NW61PR 525102 184994
## 1130 GREATER LONDON NW63EU 526186 184120
## 1131 GREATER LONDON NW13DE 528942 182369
## 1132 GREATER LONDON NW63HR 526070 184105
## 1133 GREATER LONDON WC1N1BG 530256 182430
## 1134 GREATER LONDON NW31RY 526800 185727
## 1135 GREATER LONDON NW32NP 527774 185618
## 1136 GREATER LONDON NW34SH 527781 184616
## 1137 GREATER LONDON WC1R4BG 530680 181723
## 1138 GREATER LONDON NW64NN 525571 183856
## 1139 GREATER LONDON WC1N3EG 530677 182193
## 1140 GREATER LONDON NW17RB 529118 183370
## 1141 GREATER LONDON NW23NG 524299 185358
## 1142 GREATER LONDON NW32DP 527979 184519
## 1143 GREATER LONDON NW32UD 527566 185804
## 1144 GREATER LONDON NW61LU 525445 185270
## 1145 GREATER LONDON WC1H9HE 529822 182403
## 1146 GREATER LONDON NW31TL 526810 185872
## 1147 GREATER LONDON NW17RY 528793 183587
## 1148 GREATER LONDON NW61DE 525213 185611
## 1149 GREATER LONDON EC1N8QQ 531333 181774
## 1150 GREATER LONDON NW10ST 529263 184206
## 1151 GREATER LONDON NW18AR 528261 184385
## 1152 GREATER LONDON NW19AW 529681 184847
## 1153 GREATER LONDON NW80HQ 526321 183890
## 1154 GREATER LONDON WC1N1LJ 530201 182121
## 1155 GREATER LONDON WC1X9NX 530738 182845
## 1156 GREATER LONDON NW34HN 526971 184787
## 1157 GREATER LONDON NW10SU 529290 184218
## 1158 GREATER LONDON NW18AP 528314 184358
## 1159 GREATER LONDON NW34LD 527056 184865
## 1160 GREATER LONDON NW61JG 525577 185190
## 1161 GREATER LONDON NW11TN 529288 183385
## 1162 GREATER LONDON NW33DL 527351 184095
## 1163 GREATER LONDON NW34DD 527215 184972
## 1164 GREATER LONDON NW51LZ 528390 185729
## 1165 GREATER LONDON NW54BA 528476 185062
## 1166 GREATER LONDON NW61ER 524771 185407
## 1167 GREATER LONDON NW61JF 525564 185222
## 1168 GREATER LONDON NW61JH 525591 185133
## 1169 GREATER LONDON NW63HB 526302 184424
## 1170 GREATER LONDON NW64LA 525206 184204
## 1171 GREATER LONDON NW64QG 525434 183880
## 1172 GREATER LONDON WC1H9DP 530167 182741
## 1173 GREATER LONDON WC1N1BE 530264 182411
## 1174 GREATER LONDON WC1R4RA 530671 181696
## 1175 GREATER LONDON NW34BN 527090 185100
## 1176 GREATER LONDON NW10BQ 529514 184010
## 1177 GREATER LONDON NW17SR 528383 183698
## 1178 GREATER LONDON NW34SH 527781 184616
## 1179 GREATER LONDON NW63DY 525797 184335
## 1180 GREATER LONDON NW63HS 526158 184154
## 1181 GREATER LONDON NW63LJ 525968 184234
## 1182 GREATER LONDON W1T2DB 529608 181609
## 1183 GREATER LONDON WC1R4PZ 530765 181733
## 1184 GREATER LONDON WC2H9BT 530270 181206
## 1185 GREATER LONDON NW63AP 525651 184164
## 1186 GREATER LONDON NW13AD 529157 182243
## 1187 GREATER LONDON NW23XJ 524281 185175
## 1188 GREATER LONDON NW34ES 526908 184842
## 1189 GREATER LONDON NW34HS 527193 184650
## 1190 GREATER LONDON NW34HS 527193 184650
## 1191 GREATER LONDON NW36HF 525842 185240
## 1192 GREATER LONDON NW61QD 524894 185230
## 1193 GREATER LONDON NW64LG 525292 184246
## 1194 GREATER LONDON WC1X9NA 530770 182796
## 1195 GREATER LONDON NW34LH 527144 184828
## 1196 GREATER LONDON NW36EL 526028 185011
## 1197 GREATER LONDON NW62EG 525046 184795
## 1198 GREATER LONDON WC1N1NZ 530247 182327
## 1199 GREATER LONDON N64RT 528093 187470
## 1200 GREATER LONDON NW18SS 528636 184621
## 1201 GREATER LONDON NW33HR 526866 184472
## 1202 GREATER LONDON NW52AJ 529234 184647
## 1203 GREATER LONDON NW63RX 525740 184491
## 1204 GREATER LONDON NW32YN 527787 184880
## 1205 GREATER LONDON NW62PE 525403 184304
## 1206 GREATER LONDON NW23NG 524299 185358
## 1207 GREATER LONDON NW19SL 529585 184331
## 1208 GREATER LONDON NW31ST 526827 185822
## 1209 GREATER LONDON NW32TA 527438 185845
## 1210 GREATER LONDON NW34HN 526971 184787
## 1211 GREATER LONDON NW35QY 526773 184982
## 1212 GREATER LONDON NW52XB 529309 185313
## 1213 GREATER LONDON NW62EG 525046 184795
## 1214 GREATER LONDON WC1H9AB 529894 182576
## 1215 GREATER LONDON WC2H8AB 529978 181306
## 1216 GREATER LONDON WC2H8DN 530025 181212
## 1217 GREATER LONDON NW32YY 527752 185343
## 1218 GREATER LONDON NW61XU 525837 184986
## 1219 GREATER LONDON NW62AS 525350 184565
## 1220 GREATER LONDON WC1E6HR 529780 181760
## 1221 GREATER LONDON NW52RA 529384 185240
## 1222 GREATER LONDON EC1N8JJ 531255 181958
## 1223 GREATER LONDON NW17BQ 528513 183754
## 1224 GREATER LONDON NW23TN 524758 184867
## 1225 GREATER LONDON NW32PA 527657 185528
## 1226 GREATER LONDON NW34BN 527090 185100
## 1227 GREATER LONDON NW34EA 526787 184734
## 1228 GREATER LONDON NW61QQ 525020 185028
## 1229 GREATER LONDON NW62PP 525166 184471
## 1230 GREATER LONDON NW64TD 525271 184039
## 1231 GREATER LONDON NW80AG 525957 183679
## 1232 GREATER LONDON WC2H8DF 529982 181188
## 1233 GREATER LONDON WC1H0HB 529830 182463
## 1234 GREATER LONDON NW61PH 525398 184936
## 1235 GREATER LONDON NW32DP 527979 184519
## 1236 GREATER LONDON NW32DP 527979 184519
## 1237 GREATER LONDON NW32SP 527459 186059
## 1238 GREATER LONDON NW33JH 526948 184350
## 1239 GREATER LONDON NW64ER 526362 184295
## 1240 GREATER LONDON WC1H9HG 529822 182403
## 1241 GREATER LONDON NW32DT 528050 184450
## 1242 GREATER LONDON NW17BG 528454 183854
## 1243 GREATER LONDON NW17SA 528727 183590
## 1244 GREATER LONDON NW34QS 527332 185066
## 1245 GREATER LONDON NW36LE 526323 184603
## 1246 GREATER LONDON NW52HJ 529054 185587
## 1247 GREATER LONDON NW54NE 528285 184989
## 1248 GREATER LONDON NW61BB 525322 184956
## 1249 GREATER LONDON NW61DZ 525055 185367
## 1250 GREATER LONDON NW63ED 525867 184374
## 1251 GREATER LONDON NW63HB 526302 184424
## 1252 GREATER LONDON NW64TD 525271 184039
## 1253 GREATER LONDON NW64TG 526212 184072
## 1254 GREATER LONDON WC1H9QD 530106 182635
## 1255 GREATER LONDON NW63PG 525848 184216
## 1256 GREATER LONDON WC1N1HN 530042 182301
## 1257 GREATER LONDON NW18LA 528082 184132
## 1258 GREATER LONDON NW19HE 529667 184764
## 1259 GREATER LONDON NW19JB 529270 184410
## 1260 GREATER LONDON NW31RY 526800 185727
## 1261 GREATER LONDON NW33JJ 526921 184295
## 1262 GREATER LONDON NW51JB 528941 186226
## 1263 GREATER LONDON NW53LT 528572 184646
## 1264 GREATER LONDON NW61TU 525167 185016
## 1265 GREATER LONDON NW63HT 526233 184320
## 1266 GREATER LONDON NW63NL 525662 184387
## 1267 GREATER LONDON NW63RL 525505 184340
## 1268 GREATER LONDON W1T4RZ 529332 181723
## 1269 GREATER LONDON EC1N8FH 531445 181887
## 1270 GREATER LONDON NW18QS 528777 184096
## 1271 GREATER LONDON NW18RW 528662 184300
## 1272 GREATER LONDON NW23SP 524620 185206
## 1273 GREATER LONDON NW31RX 526811 185758
## 1274 GREATER LONDON NW33JH 526948 184350
## 1275 GREATER LONDON NW54LL 528582 184906
## 1276 GREATER LONDON NW61DF 525084 185571
## 1277 GREATER LONDON NW64NB 525138 184160
## 1278 GREATER LONDON WC1H9DQ 530139 182734
## 1279 GREATER LONDON W1T6BW 529031 182137
## 1280 GREATER LONDON NW62NS 525355 184352
## 1281 GREATER LONDON NW34HL 527057 184758
## 1282 GREATER LONDON NW51EH 528483 186138
## 1283 GREATER LONDON NW61BB 525322 184956
## 1284 GREATER LONDON NW62EE 524808 184735
## 1285 GREATER LONDON NW63AP 525651 184164
## 1286 GREATER LONDON WC1X8EB 530627 182634
## 1287 GREATER LONDON WC1X8UE 530712 182375
## 1288 GREATER LONDON WC1X9LP 530803 182709
## 1289 GREATER LONDON WC1V7HH 530848 181559
## 1290 GREATER LONDON NW32HD 528018 184906
## 1291 GREATER LONDON NW34BN 527090 185100
## 1292 GREATER LONDON NW23NJ 524480 185113
## 1293 GREATER LONDON NW32TB 527491 185950
## 1294 GREATER LONDON NW34UE 527515 184605
## 1295 GREATER LONDON NW54ET 528034 184858
## 1296 GREATER LONDON WC1H9PW 530112 182591
## 1297 GREATER LONDON NW32QT 527600 185444
## 1298 GREATER LONDON NW62DX 525018 184684
## 1299 GREATER LONDON NW32DE 527935 184551
## 1300 GREATER LONDON NW32HU 528008 185521
## 1301 GREATER LONDON NW36AH 526277 185013
## 1302 GREATER LONDON NW51BE 528649 185854
## 1303 GREATER LONDON NW63HN 525824 184066
## 1304 GREATER LONDON NW64BJ 525956 183965
## 1305 GREATER LONDON WC1N3RA 530661 182068
## 1306 GREATER LONDON NW52XE 529334 185399
## 1307 GREATER LONDON NW62PR 525196 184461
## 1308 GREATER LONDON NW63JP 526196 184551
## 1309 GREATER LONDON NW32HT 527934 185493
## 1310 GREATER LONDON NW10XE 529608 183996
## 1311 GREATER LONDON NW13DS 529186 182430
## 1312 GREATER LONDON NW32DQ 527935 184551
## 1313 GREATER LONDON NW61DS 525123 185515
## 1314 GREATER LONDON NW63AP 525651 184164
## 1315 GREATER LONDON NW63EA 525991 184366
## 1316 GREATER LONDON NW63QT 526150 184651
## 1317 GREATER LONDON NW80AG 525957 183679
## 1318 GREATER LONDON WC1X8JP 531112 181752
## 1319 GREATER LONDON NW61TT 525255 185028
## 1320 GREATER LONDON NW53HG 528267 184801
## 1321 GREATER LONDON NW17SY 528155 183744
## 1322 GREATER LONDON NW62ED 524922 184753
## 1323 GREATER LONDON NW10XB 529469 183981
## 1324 GREATER LONDON NW17HP 528877 183758
## 1325 GREATER LONDON NW17HP 528877 183758
## 1326 GREATER LONDON NW17LU 528970 183359
## 1327 GREATER LONDON NW17NR 528919 183512
## 1328 GREATER LONDON NW23NJ 524480 185113
## 1329 GREATER LONDON NW31BT 526769 186090
## 1330 GREATER LONDON NW31RX 526811 185758
## 1331 GREATER LONDON NW32JN 527747 185702
## 1332 GREATER LONDON NW32QT 527600 185444
## 1333 GREATER LONDON NW32TG 527382 185977
## 1334 GREATER LONDON NW33QP 527947 184257
## 1335 GREATER LONDON NW34BJ 527203 185091
## 1336 GREATER LONDON NW34RU 527492 184925
## 1337 GREATER LONDON NW35HG 526252 184911
## 1338 GREATER LONDON NW36AG 526272 185148
## 1339 GREATER LONDON NW36ST 526351 186030
## 1340 GREATER LONDON NW51DA 528900 186087
## 1341 GREATER LONDON NW52JE 529333 185549
## 1342 GREATER LONDON NW52SE 529572 185160
## 1343 GREATER LONDON NW52XE 529334 185399
## 1344 GREATER LONDON NW53HB 528334 184823
## 1345 GREATER LONDON NW61BB 525322 184956
## 1346 GREATER LONDON NW61EP 524835 185432
## 1347 GREATER LONDON NW62EE 524808 184735
## 1348 GREATER LONDON NW63BH 525716 184624
## 1349 GREATER LONDON NW63NN 525664 184567
## 1350 GREATER LONDON NW63PH 525897 184266
## 1351 GREATER LONDON NW64TB 525245 183972
## 1352 GREATER LONDON W1T1QP 529675 181487
## 1353 GREATER LONDON W1T4HY 529345 181680
## 1354 GREATER LONDON WC1E6JW 529387 182137
## 1355 GREATER LONDON WC1H9DW 530184 182764
## 1356 GREATER LONDON WC1X8HR 531114 181737
## 1357 GREATER LONDON NW34LH 527144 184828
## 1358 GREATER LONDON N195DG 528851 186516
## 1359 GREATER LONDON NW23NJ 524480 185113
## 1360 GREATER LONDON NW23TG 524724 184845
## 1361 GREATER LONDON WC2H8DY 530134 181383
## 1362 GREATER LONDON NW35BY 526684 184808
## 1363 GREATER LONDON N195TU 528871 186792
## 1364 GREATER LONDON NW18HX 528106 184158
## 1365 GREATER LONDON NW23QG 524550 184899
## 1366 GREATER LONDON NW31PH 527017 185446
## 1367 GREATER LONDON NW32BH 528023 184566
## 1368 GREATER LONDON NW32DS 528050 184450
## 1369 GREATER LONDON NW33NT 526878 184268
## 1370 GREATER LONDON NW51AG 529028 185619
## 1371 GREATER LONDON NW51LZ 528390 185729
## 1372 GREATER LONDON NW51PA 528782 185532
## 1373 GREATER LONDON NW61LU 525445 185270
## 1374 GREATER LONDON NW61LU 525445 185270
## 1375 GREATER LONDON NW62DU 524919 184668
## 1376 GREATER LONDON W1T1QW 529675 181487
## 1377 GREATER LONDON WC1N1BE 530264 182411
## 1378 GREATER LONDON NW36NE 526058 184907
## 1379 GREATER LONDON NW32DS 528050 184450
## 1380 GREATER LONDON NW61QE 524830 185172
## 1381 GREATER LONDON NW61QE 524830 185172
## 1382 GREATER LONDON NW17BY 528573 183991
## 1383 GREATER LONDON NW23SJ 524706 185421
## 1384 GREATER LONDON NW36AG 526272 185148
## 1385 GREATER LONDON NW36HF 525842 185240
## 1386 GREATER LONDON NW51SX 528699 186062
## 1387 GREATER LONDON NW51UH 528918 185753
## 1388 GREATER LONDON NW61AQ 524543 185117
## 1389 GREATER LONDON NW61QX 525356 185120
## 1390 GREATER LONDON NW63AY 525596 184626
## 1391 GREATER LONDON NW63SJ 526181 184296
## 1392 GREATER LONDON NW64PU 525388 184081
## 1393 GREATER LONDON NW86RJ 526776 183785
## 1394 GREATER LONDON WC1N2PA 530789 182064
## 1395 GREATER LONDON WC1R4LL 530815 181706
## 1396 GREATER LONDON WC1X8NX 530853 181935
## 1397 GREATER LONDON WC2H8DN 530025 181212
## 1398 GREATER LONDON WC1H9RD 530042 182332
## 1399 GREATER LONDON WC1H9HE 529822 182403
## 1400 GREATER LONDON WC1X8HR 531114 181737
## 1401 GREATER LONDON NW31SY 526776 185700
## 1402 GREATER LONDON NW32UU 527673 185162
## 1403 GREATER LONDON NW11RE 529629 183310
## 1404 GREATER LONDON W1T1QP 529675 181487
## 1405 GREATER LONDON NW10DR 529346 183766
## 1406 GREATER LONDON NW23SL 524721 185265
## 1407 GREATER LONDON NW33EA 527481 184390
## 1408 GREATER LONDON NW65JA 525757 183473
## 1409 GREATER LONDON WC1H9DJ 530146 182750
## 1410 GREATER LONDON WC1N2PA 530789 182064
## 1411 GREATER LONDON WC2B5QD 530284 181357
## 1412 GREATER LONDON NW35TY 526596 185559
## 1413 GREATER LONDON NW51UA 528840 185530
## 1414 GREATER LONDON NW36TG 526399 185622
## 1415 GREATER LONDON NW37BG 525310 185587
## 1416 GREATER LONDON NW51UH 528918 185753
## 1417 GREATER LONDON NW53AN 528792 185033
## 1418 GREATER LONDON NW61UG 525322 185433
## 1419 GREATER LONDON NW63DY 525797 184335
## 1420 GREATER LONDON NW37QN 525469 186051
## 1421 GREATER LONDON NW53HE 528358 184754
## 1422 GREATER LONDON N70BL 529755 185023
## 1423 GREATER LONDON NW10LE 529367 183598
## 1424 GREATER LONDON NW17HP 528877 183758
## 1425 GREATER LONDON NW17TJ 528494 183698
## 1426 GREATER LONDON NW19HE 529667 184764
## 1427 GREATER LONDON NW31TR 526687 185915
## 1428 GREATER LONDON NW32YA 527701 185217
## 1429 GREATER LONDON NW52NN 529245 185588
## 1430 GREATER LONDON NW52RX 529518 185272
## 1431 GREATER LONDON NW65NJ 525621 183460
## 1432 GREATER LONDON WC1H0HQ 529830 182463
## 1433 GREATER LONDON WC1N1AG 530134 182455
## 1434 GREATER LONDON NW64RY 526387 184144
## 1435 GREATER LONDON NW33QX 527336 184156
## 1436 GREATER LONDON NW51SX 528699 186062
## 1437 GREATER LONDON NW63EB 525973 184406
## 1438 GREATER LONDON NW61JQ 525585 185157
## 1439 GREATER LONDON N66QX 528339 186412
## 1440 GREATER LONDON NW11NN 529435 183416
## 1441 GREATER LONDON NW17DN 529077 183482
## 1442 GREATER LONDON NW18LB 528218 184042
## 1443 GREATER LONDON NW31ND 526713 185618
## 1444 GREATER LONDON NW34BJ 527203 185091
## 1445 GREATER LONDON NW51TY 528794 185569
## 1446 GREATER LONDON NW61BD 525288 184963
## 1447 GREATER LONDON NW61BE 525337 185054
## 1448 GREATER LONDON NW61BJ 525262 185153
## 1449 GREATER LONDON NW61HY 525632 184904
## 1450 GREATER LONDON NW63HS 526158 184154
## 1451 GREATER LONDON WC1H9PT 530079 182643
## 1452 GREATER LONDON WC2B5QG 530390 181232
## 1453 GREATER LONDON WC1N3BT 530454 181847
## 1454 GREATER LONDON NW63EU 526186 184120
## 1455 GREATER LONDON NW10BH 529497 183987
## 1456 GREATER LONDON NW17BJ 528512 183970
## 1457 GREATER LONDON NW18JL 528274 183871
## 1458 GREATER LONDON NW19BJ 529725 184734
## 1459 GREATER LONDON NW33JH 526948 184350
## 1460 GREATER LONDON NW37AG 525274 185717
## 1461 GREATER LONDON NW51HP 529024 186091
## 1462 GREATER LONDON NW52NX 529085 185484
## 1463 GREATER LONDON NW61NS 524582 185069
## 1464 GREATER LONDON NW63HB 526302 184424
## 1465 GREATER LONDON NW63HT 526233 184320
## 1466 GREATER LONDON WC1N3BA 530329 182069
## 1467 GREATER LONDON NW62NN 525262 184270
## 1468 GREATER LONDON NW62NN 525262 184270
## 1469 GREATER LONDON NW51PS 528450 185841
## 1470 GREATER LONDON NW17HP 528877 183758
## 1471 GREATER LONDON WC1H8JP 530586 182615
## 1472 GREATER LONDON N195DG 528851 186516
## 1473 GREATER LONDON NW10EH 529210 184032
## 1474 GREATER LONDON NW10SY 529295 184242
## 1475 GREATER LONDON NW10XA 529564 183976
## 1476 GREATER LONDON NW31ND 526713 185618
## 1477 GREATER LONDON NW32LB 527966 185565
## 1478 GREATER LONDON NW63AL 525998 184180
## 1479 GREATER LONDON NW32NS 527703 185593
## 1480 GREATER LONDON N195DG 528851 186516
## 1481 GREATER LONDON NW34NS 526876 184598
## 1482 GREATER LONDON NW52QE 529219 185181
## 1483 GREATER LONDON NW23TH 524629 184968
## 1484 GREATER LONDON NW53LT 528572 184646
## 1485 GREATER LONDON WC1B3QA 530042 181514
## 1486 GREATER LONDON NW11NU 529380 183179
## 1487 GREATER LONDON NW17BY 528573 183991
## 1488 GREATER LONDON NW18DH 528616 184355
## 1489 GREATER LONDON NW19AA 529755 184946
## 1490 GREATER LONDON NW19PH 529063 184184
## 1491 GREATER LONDON NW23TH 524629 184968
## 1492 GREATER LONDON NW31ND 526713 185618
## 1493 GREATER LONDON NW31RX 526811 185758
## 1494 GREATER LONDON NW31SN 526907 185749
## 1495 GREATER LONDON NW34SD 527629 184792
## 1496 GREATER LONDON NW51AS 528955 185356
## 1497 GREATER LONDON NW54BA 528476 185062
## 1498 GREATER LONDON NW61DW 525106 185619
## 1499 GREATER LONDON NW61PF 525430 184868
## 1500 GREATER LONDON NW61PT 525071 184986
## 1501 GREATER LONDON NW63BJ 525795 184579
## 1502 GREATER LONDON NW63RU 525612 184486
## 1503 GREATER LONDON NW64ES 526366 184316
## 1504 GREATER LONDON NW64NU 525412 183785
## 1505 GREATER LONDON NW64PU 525388 184081
## 1506 GREATER LONDON WC1E6JP 529387 182137
## 1507 GREATER LONDON WC1H9AB 529894 182576
## 1508 GREATER LONDON NW10TE 529278 184133
## 1509 GREATER LONDON NW11NT 529463 183238
## 1510 GREATER LONDON NW61XJ 525503 184871
## 1511 GREATER LONDON NW65NP 525754 183665
## 1512 GREATER LONDON NW32SR 527386 185869
## 1513 GREATER LONDON NW32YT 527753 185204
## 1514 GREATER LONDON NW52NF 528936 184792
## 1515 GREATER LONDON N66PU 528494 186618
## 1516 GREATER LONDON NW36BJ 526145 185154
## 1517 GREATER LONDON NW19SA 529458 184376
## 1518 GREATER LONDON NW35ES 526538 184499
## 1519 GREATER LONDON NW51EH 528483 186138
## 1520 GREATER LONDON NW52DL 529321 185009
## 1521 GREATER LONDON NW52DU 529092 184975
## 1522 GREATER LONDON NW52LE 529282 184782
## 1523 GREATER LONDON NW64LD 525126 184176
## 1524 GREATER LONDON W1T4AT 529383 181857
## 1525 GREATER LONDON NW32BU 528050 184450
## 1526 GREATER LONDON WC1N1HD 530059 182234
## 1527 GREATER LONDON NW17SY 528155 183744
## 1528 GREATER LONDON NW18AY 528225 184563
## 1529 GREATER LONDON NW34BL 526971 184982
## 1530 GREATER LONDON NW52QE 529219 185181
## 1531 GREATER LONDON NW52QY 529411 185340
## 1532 GREATER LONDON NW53NE 528398 184647
## 1533 GREATER LONDON W1T1SP 529422 181660
## 1534 GREATER LONDON WC1N2AH 530643 182488
## 1535 GREATER LONDON NW12AT 529816 182714
## 1536 GREATER LONDON W1T2AG 529497 181834
## 1537 GREATER LONDON WC1N2LD 530847 182184
## 1538 GREATER LONDON NW36BB 526329 185444
## 1539 GREATER LONDON EC1N7TN 531253 181923
## 1540 GREATER LONDON N195TZ 528792 186694
## 1541 GREATER LONDON N66DD 528499 187297
## 1542 GREATER LONDON NW10DR 529346 183766
## 1543 GREATER LONDON NW11HY 529770 182879
## 1544 GREATER LONDON NW17HP 528877 183758
## 1545 GREATER LONDON NW34LH 527144 184828
## 1546 GREATER LONDON NW54EF 528141 184813
## 1547 GREATER LONDON NW61UE 525294 185367
## 1548 GREATER LONDON WC1H9QW 530276 182526
## 1549 GREATER LONDON WC1N1HN 530042 182301
## 1550 GREATER LONDON NW33QA 527946 184412
## 1551 GREATER LONDON NW18JD 528274 184047
## 1552 GREATER LONDON EC1N8LS 531291 181962
## 1553 GREATER LONDON NW11JL 529848 182875
## 1554 GREATER LONDON NW17BY 528573 183991
## 1555 GREATER LONDON NW23QE 524543 184936
## 1556 GREATER LONDON NW61PG 525412 184892
## 1557 GREATER LONDON NW63NL 525662 184387
## 1558 GREATER LONDON NW64DH 525695 183875
## 1559 GREATER LONDON WC1N1HJ 530053 182285
## 1560 GREATER LONDON NW10TJ 529303 184134
## 1561 GREATER LONDON NW19PS 529016 184331
## 1562 GREATER LONDON NW64LL 525390 183817
## 1563 GREATER LONDON NW64TJ 526543 184125
## 1564 GREATER LONDON NW10HL 529258 183726
## 1565 GREATER LONDON NW23TH 524629 184968
## 1566 GREATER LONDON EC1M3HA 531511 181768
## 1567 GREATER LONDON NW11LX 529741 182837
## 1568 GREATER LONDON NW18LL 528136 183990
## 1569 GREATER LONDON NW23RN 524547 185446
## 1570 GREATER LONDON NW36DS 525800 185200
## 1571 GREATER LONDON NW37AJ 525139 186003
## 1572 GREATER LONDON NW53AN 528792 185033
## 1573 GREATER LONDON NW53AN 528792 185033
## 1574 GREATER LONDON NW54HG 527887 185077
## 1575 GREATER LONDON NW61BG 525303 185105
## 1576 GREATER LONDON NW61BG 525303 185105
## 1577 GREATER LONDON NW61SL 525564 185044
## 1578 GREATER LONDON NW64ES 526366 184316
## 1579 GREATER LONDON W1T5PG 529009 182148
## 1580 GREATER LONDON WC1H8EA 530491 182729
## 1581 GREATER LONDON WC1H8LP 530502 182696
## 1582 GREATER LONDON NW61PJ 525353 184930
## 1583 GREATER LONDON NW23XJ 524281 185175
## 1584 GREATER LONDON NW52XE 529334 185399
## 1585 GREATER LONDON NW18HX 528106 184158
## 1586 GREATER LONDON NW12PY 529240 182473
## 1587 GREATER LONDON NW18HH 528331 184399
## 1588 GREATER LONDON NW19NG 529209 184309
## 1589 GREATER LONDON NW33EA 527481 184390
## 1590 GREATER LONDON NW33QB 527927 184362
## 1591 GREATER LONDON NW51AD 528977 185504
## 1592 GREATER LONDON NW53AN 528792 185033
## 1593 GREATER LONDON NW53AN 528792 185033
## 1594 GREATER LONDON NW61HX 525592 184946
## 1595 GREATER LONDON NW62EE 524808 184735
## 1596 GREATER LONDON NW80DR 526453 184025
## 1597 GREATER LONDON WC1H8JS 530248 182598
## 1598 GREATER LONDON WC1N1HE 530135 182267
## 1599 GREATER LONDON NW51JL 528846 186321
## 1600 GREATER LONDON NW11HA 529879 183227
## 1601 GREATER LONDON NW23TR 524683 184714
## 1602 GREATER LONDON NW32JY 528025 185607
## 1603 GREATER LONDON NW32QT 527600 185444
## 1604 GREATER LONDON NW36QE 525934 185397
## 1605 GREATER LONDON NW51RD 528435 186369
## 1606 GREATER LONDON NW51SU 528686 186003
## 1607 GREATER LONDON NW61EP 524835 185432
## 1608 GREATER LONDON NW63LL 526095 184308
## 1609 GREATER LONDON NW64RU 526529 184226
## 1610 GREATER LONDON NW33QD 528089 184362
## 1611 GREATER LONDON NW23TG 524724 184845
## 1612 GREATER LONDON WC1E6JP 529387 182137
## 1613 GREATER LONDON WC1R4AP 530662 181654
## 1614 GREATER LONDON N66QX 528339 186412
## 1615 GREATER LONDON NW10DJ 529370 183780
## 1616 GREATER LONDON NW10HA 529264 183633
## 1617 GREATER LONDON NW10HD 529211 183669
## 1618 GREATER LONDON NW19HE 529667 184764
## 1619 GREATER LONDON NW23SP 524620 185206
## 1620 GREATER LONDON NW35SU 526477 184737
## 1621 GREATER LONDON NW53AN 528792 185033
## 1622 GREATER LONDON NW53AN 528792 185033
## 1623 GREATER LONDON NW61QQ 525020 185028
## 1624 GREATER LONDON NW63NU 525721 184276
## 1625 GREATER LONDON NW64LE 525308 184212
## 1626 GREATER LONDON NW17EA 528566 183847
## 1627 GREATER LONDON NW63LL 526095 184308
## 1628 GREATER LONDON NW10DJ 529370 183780
## 1629 GREATER LONDON NW13PA 528948 182398
## 1630 GREATER LONDON NW18DQ 528484 184563
## 1631 GREATER LONDON NW32DB 527935 184551
## 1632 GREATER LONDON NW33HR 526866 184472
## 1633 GREATER LONDON NW34TT 527373 184973
## 1634 GREATER LONDON NW36BJ 526145 185154
## 1635 GREATER LONDON NW62HB 525143 184502
## 1636 GREATER LONDON NW34LB 526983 184840
## 1637 GREATER LONDON NW62DT 524896 184689
## 1638 GREATER LONDON WC2B5EG 530421 181431
## 1639 GREATER LONDON N66LX 528103 187076
## 1640 GREATER LONDON NW11UG 529719 183377
## 1641 GREATER LONDON NW17HP 528877 183758
## 1642 GREATER LONDON NW19AT 529945 184735
## 1643 GREATER LONDON NW22RR 524335 185447
## 1644 GREATER LONDON NW32LR 527671 185695
## 1645 GREATER LONDON NW32TH 527514 186016
## 1646 GREATER LONDON NW33PY 527459 184359
## 1647 GREATER LONDON NW34RR 527695 184742
## 1648 GREATER LONDON NW35HG 526252 184911
## 1649 GREATER LONDON NW37DU 525816 185382
## 1650 GREATER LONDON NW37LP 525857 185867
## 1651 GREATER LONDON NW37QN 525469 186051
## 1652 GREATER LONDON NW51BX 528726 185964
## 1653 GREATER LONDON NW51RH 528651 186484
## 1654 GREATER LONDON NW52RE 529630 185170
## 1655 GREATER LONDON NW53HB 528334 184823
## 1656 GREATER LONDON NW54HT 527980 185134
## 1657 GREATER LONDON NW54HX 527930 185063
## 1658 GREATER LONDON NW61DB 525223 185484
## 1659 GREATER LONDON NW61JR 525521 185319
## 1660 GREATER LONDON NW61NP 524902 184993
## 1661 GREATER LONDON NW61QA 525070 185252
## 1662 GREATER LONDON NW63PH 525897 184266
## 1663 GREATER LONDON W1T6ND 529114 181980
## 1664 GREATER LONDON WC1E6JP 529387 182137
## 1665 GREATER LONDON NW11NB 529352 183400
## 1666 GREATER LONDON NW61QT 525408 185073
## 1667 GREATER LONDON NW37DL 525820 185437
## 1668 GREATER LONDON NW52HR 529097 185777
## 1669 GREATER LONDON NW10DJ 529370 183780
## 1670 GREATER LONDON NW18LJ 528169 184006
## 1671 GREATER LONDON NW23ER 524110 185457
## 1672 GREATER LONDON NW32HU 528008 185521
## 1673 GREATER LONDON NW34RP 527695 184742
## 1674 GREATER LONDON NW51DA 528900 186087
## 1675 GREATER LONDON NW51NB 528333 185867
## 1676 GREATER LONDON NW52HD 529039 185383
## 1677 GREATER LONDON NW54EF 528141 184813
## 1678 GREATER LONDON NW63NU 525721 184276
## 1679 GREATER LONDON NW64LL 525390 183817
## 1680 GREATER LONDON WC1H8DU 530421 182721
## 1681 GREATER LONDON WC1H8HX 530393 182597
## 1682 GREATER LONDON WC1N2LD 530847 182184
## 1683 GREATER LONDON N195TT 528867 186830
## 1684 GREATER LONDON NW63NU 525721 184276
## 1685 GREATER LONDON NW51NR 528957 185327
## 1686 GREATER LONDON NW53HG 528267 184801
## 1687 GREATER LONDON NW13LR 529044 182624
## 1688 GREATER LONDON NW14EG 528845 182633
## 1689 GREATER LONDON NW19HE 529667 184764
## 1690 GREATER LONDON NW32QX 527451 185477
## 1691 GREATER LONDON NW36AJ 526243 184981
## 1692 GREATER LONDON NW53LT 528572 184646
## 1693 GREATER LONDON NW61BJ 525262 185153
## 1694 GREATER LONDON NW64NE 525314 184160
## 1695 GREATER LONDON NW64PX 525388 184081
## 1696 GREATER LONDON NW64SS 525543 183993
## 1697 GREATER LONDON WC1B4HA 530321 181827
## 1698 GREATER LONDON WC1H8LG 530439 182663
## 1699 GREATER LONDON WC1H9NX 530177 182666
## 1700 GREATER LONDON WC1N3NB 530613 182019
## 1701 GREATER LONDON WC1R4SE 530669 181748
## 1702 GREATER LONDON NW64LD 525126 184176
## 1703 GREATER LONDON NW52XE 529334 185399
## 1704 GREATER LONDON NW62PG 525404 184315
## 1705 GREATER LONDON NW10DJ 529370 183780
## 1706 GREATER LONDON EC1N7UQ 531084 181958
## 1707 GREATER LONDON NW10HD 529211 183669
## 1708 GREATER LONDON NW32TH 527514 186016
## 1709 GREATER LONDON NW51RY 528493 186107
## 1710 GREATER LONDON NW62NN 525262 184270
## 1711 GREATER LONDON WC1A1JB 530005 181476
## 1712 GREATER LONDON NW64PU 525388 184081
## 1713 GREATER LONDON WC2H0JN 529892 181153
## 1714 GREATER LONDON NW52QY 529411 185340
## 1715 GREATER LONDON NW32DQ 527935 184551
## 1716 GREATER LONDON N195TZ 528792 186694
## 1717 GREATER LONDON N79LG 529937 184845
## 1718 GREATER LONDON NW19SX 529579 184264
## 1719 GREATER LONDON NW23PG 524439 185013
## 1720 GREATER LONDON NW23SD 524389 185149
## 1721 GREATER LONDON NW32DQ 527935 184551
## 1722 GREATER LONDON NW33LH 527417 184459
## 1723 GREATER LONDON NW52DN 529444 184947
## 1724 GREATER LONDON NW62PH 525406 184368
## 1725 GREATER LONDON NW63NH 525641 184116
## 1726 GREATER LONDON WC1N3AP 530342 181922
## 1727 GREATER LONDON NW19TY 529939 184360
## 1728 GREATER LONDON WC1E6JP 529387 182137
## 1729 GREATER LONDON NW52DT 529095 184933
## 1730 GREATER LONDON NW61AY 525388 184998
## 1731 GREATER LONDON NW11LL 529755 182710
## 1732 GREATER LONDON NW23SP 524620 185206
## 1733 GREATER LONDON NW52NH 529196 185434
## 1734 GREATER LONDON NW10SD 529443 183680
## 1735 GREATER LONDON NW19AB 529780 184901
## 1736 GREATER LONDON NW19BJ 529725 184734
## 1737 GREATER LONDON NW23NH 524202 185487
## 1738 GREATER LONDON NW31JD 526421 186016
## 1739 GREATER LONDON NW32DF 527935 184551
## 1740 GREATER LONDON NW32DQ 527935 184551
## 1741 GREATER LONDON NW32LU 527639 185603
## 1742 GREATER LONDON NW34HP 527159 184710
## 1743 GREATER LONDON NW34TU 527373 184973
## 1744 GREATER LONDON NW36LL 526323 184603
## 1745 GREATER LONDON NW61QX 525356 185120
## 1746 GREATER LONDON NW62AG 525134 184389
## 1747 GREATER LONDON NW63AE 525471 184086
## 1748 GREATER LONDON NW64DH 525695 183875
## 1749 GREATER LONDON NW64LJ 525361 183844
## 1750 GREATER LONDON NW64LJ 525361 183844
## 1751 GREATER LONDON NW80SN 526150 183955
## 1752 GREATER LONDON W1T6NT 529044 182073
## 1753 GREATER LONDON NW63HT 526233 184320
## 1754 GREATER LONDON NW51RB 528386 186257
## 1755 GREATER LONDON NW54QY 527904 185209
## 1756 GREATER LONDON NW52AJ 529234 184647
## 1757 GREATER LONDON NW52XD 529370 185435
## 1758 GREATER LONDON NW10TY 529353 184086
## 1759 GREATER LONDON NW18BL 528265 184558
## 1760 GREATER LONDON NW19TY 529939 184360
## 1761 GREATER LONDON NW34SS 527736 184470
## 1762 GREATER LONDON NW52HG 529023 185488
## 1763 GREATER LONDON NW61QT 525408 185073
## 1764 GREATER LONDON NW62AD 525204 184381
## 1765 GREATER LONDON NW62NL 525339 184266
## 1766 GREATER LONDON NW63AY 525596 184626
## 1767 GREATER LONDON NW63LS 526241 184512
## 1768 GREATER LONDON NW64PX 525388 184081
## 1769 GREATER LONDON WC1N1JS 530096 182313
## 1770 GREATER LONDON NW19HE 529667 184764
## 1771 GREATER LONDON NW64BH 525997 183980
## 1772 GREATER LONDON WC1H9DW 530184 182764
## 1773 GREATER LONDON NW62AL 525278 184406
## 1774 GREATER LONDON EC1R5DH 531131 182040
## 1775 GREATER LONDON N66EB 528481 186824
## 1776 GREATER LONDON NW11LL 529755 182710
## 1777 GREATER LONDON NW18RW 528662 184300
## 1778 GREATER LONDON NW18TH 528775 184473
## 1779 GREATER LONDON NW19UD 529939 184560
## 1780 GREATER LONDON NW19XT 529885 184512
## 1781 GREATER LONDON NW23NH 524202 185487
## 1782 GREATER LONDON NW32DF 527935 184551
## 1783 GREATER LONDON NW32DN 527979 184519
## 1784 GREATER LONDON NW51AN 528948 185969
## 1785 GREATER LONDON NW51SU 528686 186003
## 1786 GREATER LONDON NW54DA 528213 184910
## 1787 GREATER LONDON NW61NJ 524866 185124
## 1788 GREATER LONDON NW64NB 525138 184160
## 1789 GREATER LONDON WC1E6DY 529390 182267
## 1790 GREATER LONDON EC1N8LB 531359 181654
## 1791 GREATER LONDON NW54HE 528127 184971
## 1792 GREATER LONDON NW19HG 529532 184593
## 1793 GREATER LONDON NW62NA 525474 184378
## 1794 GREATER LONDON NW10TY 529353 184086
## 1795 GREATER LONDON NW11NT 529463 183238
## 1796 GREATER LONDON NW19HG 529532 184593
## 1797 GREATER LONDON NW32DB 527935 184551
## 1798 GREATER LONDON NW32PN 527151 185481
## 1799 GREATER LONDON NW33HN 526908 184436
## 1800 GREATER LONDON NW36NY 526458 185480
## 1801 GREATER LONDON NW53LT 528572 184646
## 1802 GREATER LONDON NW61PL 525183 184899
## 1803 GREATER LONDON NW61QX 525356 185120
## 1804 GREATER LONDON NW62BE 524900 184826
## 1805 GREATER LONDON NW62NR 525278 184319
## 1806 GREATER LONDON NW63AE 525471 184086
## 1807 GREATER LONDON WC1H9QW 530276 182526
## 1808 GREATER LONDON WC1H9QW 530276 182526
## 1809 GREATER LONDON WC1H9NU 530177 182666
## 1810 GREATER LONDON NW64LL 525390 183817
## 1811 GREATER LONDON WC1X8QP 530451 182890
## 1812 GREATER LONDON NW10DX 529300 183716
## 1813 GREATER LONDON WC1E7AZ 529596 181992
## 1814 GREATER LONDON NW13RP 529187 182791
## 1815 GREATER LONDON NW61BS 525276 185086
## 1816 GREATER LONDON NW11EL 529803 183097
## 1817 GREATER LONDON NW17HP 528877 183758
## 1818 GREATER LONDON NW19AB 529780 184901
## 1819 GREATER LONDON NW19TY 529939 184360
## 1820 GREATER LONDON NW23RP 524418 185526
## 1821 GREATER LONDON NW23TH 524629 184968
## 1822 GREATER LONDON NW31HT 526504 185950
## 1823 GREATER LONDON NW33HL 527114 184494
## 1824 GREATER LONDON NW51AP 528941 185997
## 1825 GREATER LONDON NW51BY 528727 185930
## 1826 GREATER LONDON NW53DS 528808 184816
## 1827 GREATER LONDON NW53LY 528447 184619
## 1828 GREATER LONDON NW54NU 528329 185083
## 1829 GREATER LONDON NW54PT 528103 185264
## 1830 GREATER LONDON NW61NU 524796 185144
## 1831 GREATER LONDON NW61PH 525398 184936
## 1832 GREATER LONDON NW61TT 525255 185028
## 1833 GREATER LONDON NW62AB 525306 184368
## 1834 GREATER LONDON NW62AD 525204 184381
## 1835 GREATER LONDON NW62AD 525204 184381
## 1836 GREATER LONDON NW62DT 524896 184689
## 1837 GREATER LONDON NW62DT 524896 184689
## 1838 GREATER LONDON NW62NL 525339 184266
## 1839 GREATER LONDON NW62NS 525355 184352
## 1840 GREATER LONDON NW62PR 525196 184461
## 1841 GREATER LONDON NW63PH 525897 184266
## 1842 GREATER LONDON NW64SX 525482 184059
## 1843 GREATER LONDON WC1N3EN 530662 182151
## 1844 GREATER LONDON WC1N3HZ 530516 181989
## 1845 GREATER LONDON NW10SN 529219 184085
## 1846 GREATER LONDON NW32HN 527807 185452
## 1847 GREATER LONDON EC1N7UR 531152 181917
## 1848 GREATER LONDON NW18JN 528208 183807
## 1849 GREATER LONDON NW31AJ 526517 186236
## 1850 GREATER LONDON NW51NU 528836 185489
## 1851 GREATER LONDON NW51TR 528668 185661
## 1852 GREATER LONDON NW52JD 529318 185513
## 1853 GREATER LONDON NW61LG 525492 185152
## 1854 GREATER LONDON NW61QA 525070 185252
## 1855 GREATER LONDON NW63HT 526233 184320
## 1856 GREATER LONDON NW64NB 525138 184160
## 1857 GREATER LONDON WC1H9ER 530164 182541
## 1858 GREATER LONDON NW23QD 524518 184885
## 1859 GREATER LONDON NW10RY 529495 183583
## 1860 GREATER LONDON NW13DL 529007 183041
## 1861 GREATER LONDON NW36LL 526323 184603
## 1862 GREATER LONDON NW51DA 528900 186087
## 1863 GREATER LONDON NW52UG 529376 185044
## 1864 GREATER LONDON NW61LX 524782 185090
## 1865 GREATER LONDON NW63RE 525683 184116
## 1866 GREATER LONDON NW64PU 525388 184081
## 1867 GREATER LONDON WC1N1LB 530160 182139
## 1868 GREATER LONDON WC1N3JT 530494 181918
## 1869 GREATER LONDON NW18HJ 528292 184411
## 1870 GREATER LONDON NW23NJ 524480 185113
## 1871 GREATER LONDON NW19LQ 528965 183961
## 1872 GREATER LONDON NW10DR 529346 183766
## 1873 GREATER LONDON NW32QX 527451 185477
## 1874 GREATER LONDON NW35NL 526859 185343
## 1875 GREATER LONDON NW36JG 526610 184358
## 1876 GREATER LONDON NW53LA 528862 184725
## 1877 GREATER LONDON NW64PX 525388 184081
## 1878 GREATER LONDON WC1H9RL 530232 182440
## 1879 GREATER LONDON NW31QH 526394 185723
## 1880 GREATER LONDON NW23XJ 524281 185175
## 1881 GREATER LONDON NW18AP 528314 184358
## 1882 GREATER LONDON NW17BF 528512 183970
## 1883 GREATER LONDON NW10LA 529263 183558
## 1884 GREATER LONDON NW13PR 528941 182498
## 1885 GREATER LONDON NW18PY 528833 184426
## 1886 GREATER LONDON NW19TL 529772 184337
## 1887 GREATER LONDON NW23RU 524442 185387
## 1888 GREATER LONDON NW31BE 526408 186065
## 1889 GREATER LONDON NW33QX 527336 184156
## 1890 GREATER LONDON NW52HH 529041 185541
## 1891 GREATER LONDON NW54LJ 528455 184904
## 1892 GREATER LONDON NW61QA 525070 185252
## 1893 GREATER LONDON NW80HS 526143 183815
## 1894 GREATER LONDON WC1H9AP 529951 182598
## 1895 GREATER LONDON WC1H9HE 529822 182403
## 1896 GREATER LONDON WC1N1PE 530305 182383
## 1897 GREATER LONDON WC1X9BP 530686 182918
## 1898 GREATER LONDON WC1X9BP 530686 182918
## 1899 GREATER LONDON NW12ND 529377 182465
## 1900 GREATER LONDON WC1H9RH 530191 182425
## 1901 GREATER LONDON WC2H8DN 530025 181212
## 1902 GREATER LONDON NW35DP 526630 184429
## 1903 GREATER LONDON NW18AY 528225 184563
## 1904 GREATER LONDON NW23TE 524665 184767
## 1905 GREATER LONDON NW32DA 527935 184551
## 1906 GREATER LONDON NW32JT 528104 185661
## 1907 GREATER LONDON NW34HT 526963 184696
## 1908 GREATER LONDON NW51AN 528948 185969
## 1909 GREATER LONDON NW52JE 529333 185549
## 1910 GREATER LONDON NW61DA 525224 185532
## 1911 GREATER LONDON NW62AS 525350 184565
## 1912 GREATER LONDON NW32BU 528050 184450
## 1913 GREATER LONDON NW32XD 527525 185278
## 1914 GREATER LONDON NW10RX 529495 183539
## 1915 GREATER LONDON NW17BF 528512 183970
## 1916 GREATER LONDON NW23TE 524665 184767
## 1917 GREATER LONDON NW32DA 527935 184551
## 1918 GREATER LONDON NW32DH 527979 184519
## 1919 GREATER LONDON NW32DT 528050 184450
## 1920 GREATER LONDON NW32QX 527451 185477
## 1921 GREATER LONDON NW32RD 527384 185612
## 1922 GREATER LONDON NW33QD 528089 184362
## 1923 GREATER LONDON NW37AE 525447 185601
## 1924 GREATER LONDON NW52PU 529125 185339
## 1925 GREATER LONDON NW52RB 529460 185208
## 1926 GREATER LONDON NW52ST 529664 184978
## 1927 GREATER LONDON NW54JE 528076 185039
## 1928 GREATER LONDON NW54PT 528103 185264
## 1929 GREATER LONDON NW62ED 524922 184753
## 1930 GREATER LONDON NW62NR 525278 184319
## 1931 GREATER LONDON NW63AH 525618 184153
## 1932 GREATER LONDON NW64TD 525271 184039
## 1933 GREATER LONDON WC1H9DP 530167 182741
## 1934 GREATER LONDON WC1H9QW 530276 182526
## 1935 GREATER LONDON NW61BL 525223 185155
## 1936 GREATER LONDON NW10DD 529424 183613
## 1937 GREATER LONDON NW23TJ 524525 185001
## 1938 GREATER LONDON NW51UG 528909 185587
## 1939 GREATER LONDON NW52DN 529444 184947
## 1940 GREATER LONDON NW52JD 529318 185513
## 1941 GREATER LONDON NW53LA 528862 184725
## 1942 GREATER LONDON WC1X0JP 530832 182329
## 1943 GREATER LONDON NW18EB 528503 184471
## 1944 GREATER LONDON NW19TY 529939 184360
## 1945 GREATER LONDON NW62AB 525306 184368
## 1946 GREATER LONDON N66NP 528108 186662
## 1947 GREATER LONDON NW11PA 529465 183312
## 1948 GREATER LONDON NW17SY 528155 183744
## 1949 GREATER LONDON NW51DA 528900 186087
## 1950 GREATER LONDON NW53LN 528577 184740
## 1951 GREATER LONDON NW62PU 525297 184461
## 1952 GREATER LONDON NW64QP 525492 183724
## 1953 GREATER LONDON NW64TN 526419 184108
## 1954 GREATER LONDON WC1X8JZ 530745 182415
## 1955 GREATER LONDON NW52RX 529518 185272
## 1956 GREATER LONDON NW35DR 526596 184482
## 1957 GREATER LONDON NW19HS 529393 184314
## 1958 GREATER LONDON NW37AE 525447 185601
## 1959 GREATER LONDON NW18ED 528466 184398
## 1960 GREATER LONDON NW10ES 529279 183440
## 1961 GREATER LONDON NW12JP 529213 183072
## 1962 GREATER LONDON NW13RB 529077 182881
## 1963 GREATER LONDON NW32SY 527345 185730
## 1964 GREATER LONDON NW32TD 527418 185967
## 1965 GREATER LONDON NW34TG 527578 184670
## 1966 GREATER LONDON NW52BE 529474 184988
## 1967 GREATER LONDON NW52SE 529572 185160
## 1968 GREATER LONDON NW52UB 529275 185053
## 1969 GREATER LONDON NW64LY 525305 184141
## 1970 GREATER LONDON NW80RH 525941 183618
## 1971 GREATER LONDON WC1H8BL 530426 182810
## 1972 GREATER LONDON WC1H8EB 530512 182745
## 1973 GREATER LONDON WC1H9AW 529943 182571
## 1974 GREATER LONDON WC1N1HD 530059 182234
## 1975 GREATER LONDON NW34UY 527349 184920
## 1976 GREATER LONDON NW62AL 525278 184406
## 1977 GREATER LONDON WC1H9HE 529822 182403
## 1978 GREATER LONDON NW10HP 529206 183814
## 1979 GREATER LONDON NW10JR 529124 183579
## 1980 GREATER LONDON NW11EL 529803 183097
## 1981 GREATER LONDON NW13EB 529167 183009
## 1982 GREATER LONDON NW32LU 527639 185603
## 1983 GREATER LONDON NW36JG 526610 184358
## 1984 GREATER LONDON NW51DA 528900 186087
## 1985 GREATER LONDON NW53HG 528267 184801
## 1986 GREATER LONDON NW62AN 525351 184414
## 1987 GREATER LONDON NW62DY 525049 184718
## 1988 GREATER LONDON NW65NX 525824 183588
## 1989 GREATER LONDON NW65UU 525676 183495
## 1990 GREATER LONDON NW23SL 524721 185265
## 1991 GREATER LONDON NW23TR 524683 184714
## 1992 GREATER LONDON WC1X8UB 530767 182313
## 1993 GREATER LONDON NW19XP 529917 184437
## 1994 GREATER LONDON NW32BU 528050 184450
## 1995 GREATER LONDON NW63RE 525683 184116
## 1996 GREATER LONDON EC1N7SR 531129 181964
## 1997 GREATER LONDON NW10EH 529210 184032
## 1998 GREATER LONDON NW10JR 529124 183579
## 1999 GREATER LONDON NW11EZ 529848 182875
## 2000 GREATER LONDON NW14BU 528793 182733
## 2001 GREATER LONDON NW19AB 529780 184901
## 2002 GREATER LONDON NW22RS 524219 185640
## 2003 GREATER LONDON NW32JB 528150 185587
## 2004 GREATER LONDON NW34DB 527199 184911
## 2005 GREATER LONDON NW35AS 526915 184984
## 2006 GREATER LONDON NW51UP 528960 185694
## 2007 GREATER LONDON NW52PE 529069 185382
## 2008 GREATER LONDON NW54LL 528582 184906
## 2009 GREATER LONDON NW61HY 525632 184904
## 2010 GREATER LONDON NW62BD 524814 184935
## 2011 GREATER LONDON NW62EB 524764 184684
## 2012 GREATER LONDON NW63BT 526216 184708
## 2013 GREATER LONDON NW63NP 525668 184541
## 2014 GREATER LONDON NW63RE 525683 184116
## 2015 GREATER LONDON NW65NP 525754 183665
## 2016 GREATER LONDON NW80SF 525903 183844
## 2017 GREATER LONDON WC1H8BJ 530408 182837
## 2018 GREATER LONDON WC1H8LB 530338 182638
## 2019 GREATER LONDON NW19UD 529939 184560
## 2020 GREATER LONDON NW23SP 524620 185206
## 2021 GREATER LONDON NW54QX 527962 185268
## 2022 GREATER LONDON WC1H9PR 530091 182626
## 2023 GREATER LONDON NW10QH 529549 183869
## 2024 GREATER LONDON NW36AG 526272 185148
## 2025 GREATER LONDON NW51BX 528726 185964
## 2026 GREATER LONDON NW51DN 528752 185886
## 2027 GREATER LONDON NW63BT 526216 184708
## 2028 GREATER LONDON NW64AH 525947 183920
## 2029 GREATER LONDON WC1H9QS 530220 182479
## 2030 GREATER LONDON WC1N3PZ 530497 181825
## 2031 GREATER LONDON NW64QA 525438 184024
## 2032 GREATER LONDON NW32UA 527614 185890
## 2033 GREATER LONDON NW64TD 525271 184039
## 2034 GREATER LONDON WC1H9NU 530177 182666
## 2035 GREATER LONDON NW61XX 525819 184947
## 2036 GREATER LONDON NW23SD 524389 185149
## 2037 GREATER LONDON NW61QD 524894 185230
## 2038 GREATER LONDON NW19EX 529285 184429
## 2039 GREATER LONDON NW10DB 529402 183649
## 2040 GREATER LONDON NW19BS 529816 184655
## 2041 GREATER LONDON NW32DN 527979 184519
## 2042 GREATER LONDON NW32LG 527807 185677
## 2043 GREATER LONDON NW33JH 526948 184350
## 2044 GREATER LONDON NW34BL 526971 184982
## 2045 GREATER LONDON NW35HN 526221 184901
## 2046 GREATER LONDON NW52UD 529302 185095
## 2047 GREATER LONDON NW54JU 527826 185296
## 2048 GREATER LONDON NW61BN 525267 185098
## 2049 GREATER LONDON NW64QP 525492 183724
## 2050 GREATER LONDON NW64QR 525504 183743
## 2051 GREATER LONDON NW80SB 526541 183966
## 2052 GREATER LONDON WC1H9AP 529951 182598
## 2053 GREATER LONDON WC1X8EB 530627 182634
## 2054 GREATER LONDON NW80RJ 525885 183561
## 2055 GREATER LONDON NW23NJ 524480 185113
## 2056 GREATER LONDON NW63NH 525641 184116
## 2057 GREATER LONDON NW52RG 529479 185170
## 2058 GREATER LONDON NW80RJ 525885 183561
## 2059 GREATER LONDON NW17TX 528377 183763
## 2060 GREATER LONDON NW23RA 524357 185178
## 2061 GREATER LONDON NW35ES 526538 184499
## 2062 GREATER LONDON NW36HQ 525816 185246
## 2063 GREATER LONDON NW51AS 528955 185356
## 2064 GREATER LONDON NW52XE 529334 185399
## 2065 GREATER LONDON NW54AG 528153 185409
## 2066 GREATER LONDON NW54AL 528336 185490
## 2067 GREATER LONDON NW54PJ 528274 185235
## 2068 GREATER LONDON NW63DJ 526090 184598
## 2069 GREATER LONDON NW80SF 525903 183844
## 2070 GREATER LONDON N66EB 528481 186824
## 2071 GREATER LONDON NW35TP 526376 185174
## 2072 GREATER LONDON NW63EU 526186 184120
## 2073 GREATER LONDON NW10XG 529645 183936
## 2074 GREATER LONDON NW64LD 525126 184176
## 2075 GREATER LONDON NW61DJ 525145 185634
## 2076 GREATER LONDON NW11NH 529281 183233
## 2077 GREATER LONDON NW19UG 529780 184382
## 2078 GREATER LONDON NW19XU 529798 184584
## 2079 GREATER LONDON NW23TL 524581 185030
## 2080 GREATER LONDON NW32JP 527860 185719
## 2081 GREATER LONDON NW61LX 524782 185090
## 2082 GREATER LONDON NW63PN 525536 184262
## 2083 GREATER LONDON NW64ES 526366 184316
## 2084 GREATER LONDON NW64TL 526597 184154
## 2085 GREATER LONDON NW64TL 526597 184154
## 2086 GREATER LONDON WC1H8DF 530311 182658
## 2087 GREATER LONDON NW62NR 525278 184319
## 2088 GREATER LONDON NW11LS 529781 182807
## 2089 GREATER LONDON NW61LJ 525469 185205
## 2090 GREATER LONDON N66EB 528481 186824
## 2091 GREATER LONDON N66LD 528213 187426
## 2092 GREATER LONDON NW13SD 529133 183009
## 2093 GREATER LONDON NW19RE 529603 184366
## 2094 GREATER LONDON NW19XP 529917 184437
## 2095 GREATER LONDON NW32HB 527946 184795
## 2096 GREATER LONDON NW32HU 528008 185521
## 2097 GREATER LONDON NW35HN 526221 184901
## 2098 GREATER LONDON NW35JR 526386 184713
## 2099 GREATER LONDON NW36AR 526239 185128
## 2100 GREATER LONDON NW36DX 526061 184951
## 2101 GREATER LONDON NW51DN 528752 185886
## 2102 GREATER LONDON NW51RH 528651 186484
## 2103 GREATER LONDON NW52UD 529302 185095
## 2104 GREATER LONDON NW53AN 528792 185033
## 2105 GREATER LONDON NW53QB 528075 184582
## 2106 GREATER LONDON NW54PJ 528274 185235
## 2107 GREATER LONDON NW62DT 524896 184689
## 2108 GREATER LONDON NW62LX 525519 184485
## 2109 GREATER LONDON NW62NA 525474 184378
## 2110 GREATER LONDON NW64LD 525126 184176
## 2111 GREATER LONDON NW64TA 525211 183957
## 2112 GREATER LONDON NW51XE 528880 185793
## 2113 GREATER LONDON NW23NG 524299 185358
## 2114 GREATER LONDON NW10JE 529564 184072
## 2115 GREATER LONDON NW13QD 529051 182791
## 2116 GREATER LONDON NW35HN 526221 184901
## 2117 GREATER LONDON NW80SQ 525939 183864
## 2118 GREATER LONDON NW11HP 529848 182875
## 2119 GREATER LONDON NW17BJ 528512 183970
## 2120 GREATER LONDON NW19HE 529667 184764
## 2121 GREATER LONDON NW19NB 529104 184411
## 2122 GREATER LONDON NW19UG 529780 184382
## 2123 GREATER LONDON NW33JH 526948 184350
## 2124 GREATER LONDON NW52AH 529253 184615
## 2125 GREATER LONDON NW62NR 525278 184319
## 2126 GREATER LONDON NW63QR 525998 184629
## 2127 GREATER LONDON NW80SB 526541 183966
## 2128 GREATER LONDON WC1N3AP 530342 181922
## 2129 GREATER LONDON NW80DR 526453 184025
## 2130 GREATER LONDON NW23NH 524202 185487
## 2131 GREATER LONDON NW53LA 528862 184725
## 2132 GREATER LONDON WC1E6JW 529387 182137
## 2133 GREATER LONDON NW34TT 527373 184973
## 2134 GREATER LONDON NW64QR 525504 183743
## 2135 GREATER LONDON NW52RB 529460 185208
## 2136 GREATER LONDON NW34LX 527257 184806
## 2137 GREATER LONDON NW10HT 529087 183871
## 2138 GREATER LONDON NW10JH 529171 183474
## 2139 GREATER LONDON NW10XF 529653 184008
## 2140 GREATER LONDON NW10XG 529645 183936
## 2141 GREATER LONDON NW23XG 524238 185319
## 2142 GREATER LONDON NW32EA 527879 184811
## 2143 GREATER LONDON NW52AU 529496 184836
## 2144 GREATER LONDON NW52RX 529518 185272
## 2145 GREATER LONDON NW53EJ 528631 184919
## 2146 GREATER LONDON NW54PQ 528231 185218
## 2147 GREATER LONDON NW62DT 524896 184689
## 2148 GREATER LONDON NW80AJ 525649 183677
## 2149 GREATER LONDON WC1X0LR 530817 182585
## 2150 GREATER LONDON NW51DN 528752 185886
## 2151 GREATER LONDON NW51AG 529028 185619
## 2152 GREATER LONDON NW63BN 525963 184666
## 2153 GREATER LONDON WC1H9NU 530177 182666
## 2154 GREATER LONDON N195TR 528859 186886
## 2155 GREATER LONDON NW18DS 528567 184579
## 2156 GREATER LONDON EC1R5EQ 531107 182056
## 2157 GREATER LONDON NW19TY 529939 184360
## 2158 GREATER LONDON NW31QS 526428 185664
## 2159 GREATER LONDON NW36AG 526272 185148
## 2160 GREATER LONDON NW36HQ 525816 185246
## 2161 GREATER LONDON NW37AG 525274 185717
## 2162 GREATER LONDON NW51AS 528955 185356
## 2163 GREATER LONDON NW51HR 529008 186121
## 2164 GREATER LONDON NW53BX 528911 184950
## 2165 GREATER LONDON NW61SG 525515 184984
## 2166 GREATER LONDON WC1X8JZ 530745 182415
## 2167 GREATER LONDON NW17RR 528955 183327
## 2168 GREATER LONDON NW33PT 527593 184388
## 2169 GREATER LONDON WC1X9BP 530686 182918
## 2170 GREATER LONDON NW10XB 529469 183981
## 2171 GREATER LONDON NW23TG 524724 184845
## 2172 GREATER LONDON NW35ES 526538 184499
## 2173 GREATER LONDON NW64TN 526419 184108
## 2174 GREATER LONDON NW80RX 526486 183921
## 2175 GREATER LONDON NW61NF 525029 185173
## 2176 GREATER LONDON NW19RE 529603 184366
## 2177 GREATER LONDON NW62QY 525087 184682
## 2178 GREATER LONDON NW52EB 529098 184845
## 2179 GREATER LONDON NW23ET 524099 185370
## 2180 GREATER LONDON EC1N7RF 531315 181670
## 2181 GREATER LONDON NW10NE 528951 183826
## 2182 GREATER LONDON NW10RY 529495 183583
## 2183 GREATER LONDON NW17LU 528970 183359
## 2184 GREATER LONDON NW19AB 529780 184901
## 2185 GREATER LONDON NW19HS 529393 184314
## 2186 GREATER LONDON NW34TG 527578 184670
## 2187 GREATER LONDON NW52XE 529334 185399
## 2188 GREATER LONDON NW54ED 528217 185052
## 2189 GREATER LONDON NW54JL 528038 185099
## 2190 GREATER LONDON NW54SE 527987 185418
## 2191 GREATER LONDON NW63AE 525471 184086
## 2192 GREATER LONDON NW63BT 526216 184708
## 2193 GREATER LONDON W1T6BW 529031 182137
## 2194 GREATER LONDON WC1H9QS 530220 182479
## 2195 GREATER LONDON WC1N3PG 530575 181880
## 2196 GREATER LONDON NW19BR 529591 184384
## 2197 GREATER LONDON NW51BD 528979 185597
## 2198 GREATER LONDON NW53AN 528792 185033
## 2199 GREATER LONDON NW54JL 528038 185099
## 2200 GREATER LONDON NW62BJ 524804 184908
## 2201 GREATER LONDON NW51LN 528507 185740
## 2202 GREATER LONDON NW53HG 528267 184801
## 2203 GREATER LONDON N66NP 528108 186662
## 2204 GREATER LONDON NW54EZ 528144 184920
## 2205 GREATER LONDON WC1X0AG 531033 182095
## 2206 GREATER LONDON NW11EP 529690 183100
## 2207 GREATER LONDON NW14BU 528793 182733
## 2208 GREATER LONDON NW23TB 524640 184824
## 2209 GREATER LONDON NW32JE 528143 185540
## 2210 GREATER LONDON NW33NY 526922 184230
## 2211 GREATER LONDON NW36AR 526239 185128
## 2212 GREATER LONDON NW54AJ 528286 185413
## 2213 GREATER LONDON NW64LD 525126 184176
## 2214 GREATER LONDON NW64NA 525163 184129
## 2215 GREATER LONDON NW23SP 524620 185206
## 2216 GREATER LONDON NW54DN 528482 185166
## 2217 GREATER LONDON NW10TY 529353 184086
## 2218 GREATER LONDON NW10EY 529215 183496
## 2219 GREATER LONDON NW13SB 529060 183026
## 2220 GREATER LONDON NW17NP 528925 183571
## 2221 GREATER LONDON NW18SU 528592 184595
## 2222 GREATER LONDON NW23NJ 524480 185113
## 2223 GREATER LONDON NW23PD 524373 185087
## 2224 GREATER LONDON NW33QT 527706 184212
## 2225 GREATER LONDON NW51RH 528651 186484
## 2226 GREATER LONDON NW54EU 528074 184864
## 2227 GREATER LONDON NW61QD 524894 185230
## 2228 GREATER LONDON NW61QD 524894 185230
## 2229 GREATER LONDON WC1H9QA 530094 182655
## 2230 GREATER LONDON WC1X8JX 530745 182415
## 2231 GREATER LONDON NW64JT 525215 184064
## 2232 GREATER LONDON NW11PN 529438 183124
## 2233 GREATER LONDON NW17NP 528925 183571
## 2234 GREATER LONDON NW23PD 524373 185087
## 2235 GREATER LONDON NW52RD 529587 185204
## 2236 GREATER LONDON NW61PZ 524938 185204
## 2237 GREATER LONDON WC1H9DW 530184 182764
## 2238 GREATER LONDON NW52HR 529097 185777
## 2239 GREATER LONDON NW63DH 526144 184610
## 2240 GREATER LONDON NW80SE 526567 184075
## 2241 GREATER LONDON NW51LL 528495 185803
## 2242 GREATER LONDON NW51JJ 528902 186483
## 2243 GREATER LONDON NW61QX 525356 185120
## 2244 GREATER LONDON NW17TX 528377 183763
## 2245 GREATER LONDON NW10SA 529483 183608
## 2246 GREATER LONDON NW19JS 529147 184418
## 2247 GREATER LONDON NW19TY 529939 184360
## 2248 GREATER LONDON NW52AU 529496 184836
## 2249 GREATER LONDON NW54BH 528321 185255
## 2250 GREATER LONDON NW61DJ 525145 185634
## 2251 GREATER LONDON NW61SJ 525623 185048
## 2252 GREATER LONDON NW80RH 525941 183618
## 2253 GREATER LONDON NW80SL 526091 183931
## 2254 GREATER LONDON WC1X8JY 530745 182415
## 2255 GREATER LONDON WC1X9BP 530686 182918
## 2256 GREATER LONDON NW51AD 528977 185504
## 2257 GREATER LONDON NW64SR 525545 184036
## 2258 GREATER LONDON NW11BD 529261 183348
## 2259 GREATER LONDON NW53QH 528090 184672
## 2260 GREATER LONDON NW54BJ 528321 185255
## 2261 GREATER LONDON EC1R5EQ 531107 182056
## 2262 GREATER LONDON NW11EX 529814 182957
## 2263 GREATER LONDON NW17LE 529034 183550
## 2264 GREATER LONDON NW31SA 526709 185684
## 2265 GREATER LONDON NW34RX 527461 184948
## 2266 GREATER LONDON NW53QH 528090 184672
## 2267 GREATER LONDON NW54BN 528461 185325
## 2268 GREATER LONDON WC1H0HP 529830 182463
## 2269 GREATER LONDON WC1H9DL 530165 182764
## 2270 GREATER LONDON NW35ES 526538 184499
## 2271 GREATER LONDON NW23TR 524683 184714
## 2272 GREATER LONDON NW54AS 528120 185418
## 2273 GREATER LONDON NW63AE 525471 184086
## 2274 GREATER LONDON NW64QR 525504 183743
## 2275 GREATER LONDON NW32DW 527979 184519
## 2276 GREATER LONDON NW34UN 527373 184799
## 2277 GREATER LONDON NW53HG 528267 184801
## 2278 GREATER LONDON NW63PN 525536 184262
## 2279 GREATER LONDON WC1H9QW 530276 182526
## 2280 GREATER LONDON WC1H0LW 530098 182164
## 2281 GREATER LONDON NW23PE 524397 185042
## 2282 GREATER LONDON NW34QX 527388 185019
## 2283 GREATER LONDON NW52JT 528964 184897
## 2284 GREATER LONDON NW52XD 529370 185435
## 2285 GREATER LONDON NW64NU 525412 183785
## 2286 GREATER LONDON NW23XG 524238 185319
## 2287 GREATER LONDON NW34TN 527511 184717
## 2288 GREATER LONDON NW61DY 524942 185336
## 2289 GREATER LONDON NW61TS 525249 184978
## 2290 GREATER LONDON NW62DT 524896 184689
## 2291 GREATER LONDON NW64LR 525300 184033
## 2292 GREATER LONDON WC1H0NF 530098 182164
## 2293 GREATER LONDON NW36AR 526239 185128
## 2294 GREATER LONDON NW64LA 525206 184204
## 2295 GREATER LONDON NW33LZ 527650 184458
## 2296 GREATER LONDON N195DF 528839 186587
## 2297 GREATER LONDON NW19DY 529177 184113
## 2298 GREATER LONDON NW32LP 527542 185648
## 2299 GREATER LONDON NW34HS 527193 184650
## 2300 GREATER LONDON NW54DD 528175 184780
## 2301 GREATER LONDON NW61NF 525029 185173
## 2302 GREATER LONDON NW10NE 528951 183826
## 2303 GREATER LONDON NW34UN 527373 184799
## 2304 GREATER LONDON NW10QH 529549 183869
## 2305 GREATER LONDON NW19JS 529147 184418
## 2306 GREATER LONDON NW19PY 528990 184569
## 2307 GREATER LONDON NW32LT 527673 185606
## 2308 GREATER LONDON NW51XE 528880 185793
## 2309 GREATER LONDON NW53QH 528090 184672
## 2310 GREATER LONDON NW54BN 528461 185325
## 2311 GREATER LONDON NW62PR 525196 184461
## 2312 GREATER LONDON NW63RS 525578 184447
## 2313 GREATER LONDON NW64JX 525154 184091
## 2314 GREATER LONDON NW64RU 526529 184226
## 2315 GREATER LONDON WC1E7AQ 529730 181865
## 2316 GREATER LONDON WC1H0LW 530098 182164
## 2317 GREATER LONDON WC1H0NL 530098 182164
## 2318 GREATER LONDON NW35BU 526673 185076
## 2319 GREATER LONDON EC1N7UE 531066 181933
## 2320 GREATER LONDON NW33JH 526948 184350
## 2321 GREATER LONDON NW34RX 527461 184948
## 2322 GREATER LONDON NW13LJ 528878 182628
## 2323 GREATER LONDON NW13RJ 529111 182824
## 2324 GREATER LONDON NW54DX 528309 185056
## 2325 GREATER LONDON NW61BJ 525262 185153
## 2326 GREATER LONDON NW23PG 524439 185013
## 2327 GREATER LONDON NW52AP 529436 184728
## 2328 GREATER LONDON NW36DX 526061 184951
## 2329 GREATER LONDON N195AD 529357 185607
## 2330 GREATER LONDON N195TS 528853 186852
## 2331 GREATER LONDON NW19DY 529177 184113
## 2332 GREATER LONDON NW54DJ 528515 185145
## 2333 GREATER LONDON NW64JT 525215 184064
## 2334 GREATER LONDON N66ES 528492 186772
## 2335 GREATER LONDON NW14HR 528711 183116
## 2336 GREATER LONDON WC1H0LP 530098 182164
## 2337 GREATER LONDON WC1H0ND 530098 182164
## 2338 GREATER LONDON NW65UB 525564 183529
## 2339 GREATER LONDON NW19AX 529902 184702
## 2340 GREATER LONDON NW52HT 529190 185700
## 2341 GREATER LONDON NW65NT 525693 183626
## 2342 GREATER LONDON WC1H0NJ 530098 182164
## 2343 GREATER LONDON WC1H9QW 530276 182526
## 2344 GREATER LONDON N66EA 528434 186809
## 2345 GREATER LONDON NW13RE 529019 182851
## 2346 GREATER LONDON NW19JS 529147 184418
## 2347 GREATER LONDON NW34XD 527349 184920
## 2348 GREATER LONDON NW35EX 526491 184534
## 2349 GREATER LONDON NW37AJ 525139 186003
## 2350 GREATER LONDON NW61RD 525437 185155
## 2351 GREATER LONDON WC1H0LL 530098 182164
## 2352 GREATER LONDON WC1H0NJ 530098 182164
## 2353 GREATER LONDON WC2H9JU 530262 181177
## 2354 GREATER LONDON NW54EB 528246 185037
## 2355 GREATER LONDON NW62JS 524920 184437
## 2356 GREATER LONDON NW62BQ 524861 184861
## 2357 GREATER LONDON NW17RS 528866 183456
## 2358 GREATER LONDON NW19HE 529667 184764
## 2359 GREATER LONDON NW19JS 529147 184418
## 2360 GREATER LONDON NW19JS 529147 184418
## 2361 GREATER LONDON NW32JP 527860 185719
## 2362 GREATER LONDON NW32XP 527635 185328
## 2363 GREATER LONDON NW52EH 529245 184873
## 2364 GREATER LONDON NW54EG 528175 185021
## 2365 GREATER LONDON NW65NR 525693 183626
## 2366 GREATER LONDON NW65NS 525693 183626
## 2367 GREATER LONDON NW65NT 525693 183626
## 2368 GREATER LONDON WC1H0LR 530098 182164
## 2369 GREATER LONDON WC1H0LR 530098 182164
## 2370 GREATER LONDON WC1H0NJ 530098 182164
## 2371 GREATER LONDON NW64JT 525215 184064
## 2372 GREATER LONDON N66ED 528531 186839
## 2373 GREATER LONDON NW23PD 524373 185087
## 2374 GREATER LONDON NW23PE 524397 185042
## 2375 GREATER LONDON NW23PH 524450 184988
## 2376 GREATER LONDON NW34UN 527373 184799
## 2377 GREATER LONDON NW63BB 525606 184556
## 2378 GREATER LONDON NW63BB 525606 184556
## 2379 GREATER LONDON WC1H9NU 530177 182666
## 2380 GREATER LONDON NW54DX 528309 185056
## 2381 GREATER LONDON NW34XB 527349 184920
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## 2383 GREATER LONDON NW33JP 527038 184321
## 2384 GREATER LONDON NW33LZ 527650 184458
## 2385 GREATER LONDON NW34XB 527349 184920
## 2386 GREATER LONDON NW36JG 526610 184358
## 2387 GREATER LONDON NW54PL 528186 185192
## 2388 GREATER LONDON NW62AB 525306 184368
## 2389 GREATER LONDON NW34XA 527349 184920
## 2390 GREATER LONDON WC1H9QS 530220 182479
## 2391 GREATER LONDON NW34UN 527373 184799
## 2392 GREATER LONDON WC1H9QS 530220 182479
## 2393 GREATER LONDON NW10LT 529077 183620
## 2394 GREATER LONDON NW23RB 524413 185228
## 2395 GREATER LONDON NW32EX 527974 184749
## 2396 GREATER LONDON NW34UN 527373 184799
## 2397 GREATER LONDON WC1H0LP 530098 182164
## 2398 GREATER LONDON WC1H0LR 530098 182164
## 2399 GREATER LONDON WC1H0LW 530098 182164
## 2400 GREATER LONDON WC1H0ND 530098 182164
## 2401 GREATER LONDON WC1H0NF 530098 182164
## 2402 GREATER LONDON WC1H0NJ 530098 182164
## 2403 GREATER LONDON WC1H0NL 530098 182164
## 2404 GREATER LONDON WC1H0LP 530098 182164
## 2405 GREATER LONDON NW34TU 527373 184973
## 2406 GREATER LONDON NW51LN 528507 185740
## 2407 GREATER LONDON NW51RZ 528614 186188
## 2408 GREATER LONDON NW61PG 525412 184892
## 2409 GREATER LONDON W1T6BW 529031 182137
## 2410 GREATER LONDON WC1H0NL 530098 182164
## 2411 GREATER LONDON WC1H9QS 530220 182479
## 2412 GREATER LONDON NW63SR 525971 184583
## 2413 GREATER LONDON N195AD 529357 185607
## 2414 GREATER LONDON NW11BA 529227 183310
## 2415 GREATER LONDON NW19BT 529808 184710
## 2416 GREATER LONDON NW19RE 529603 184366
## 2417 GREATER LONDON NW32EY 527964 184865
## 2418 GREATER LONDON NW63DY 525797 184335
## 2419 GREATER LONDON NW65HY 525588 183511
## 2420 GREATER LONDON NW65NR 525693 183626
## 2421 GREATER LONDON WC1H0NJ 530098 182164
## 2422 GREATER LONDON WC1H9QS 530220 182479
## 2423 GREATER LONDON NW53QE 528017 184726
## 2424 GREATER LONDON NW33JU 527247 184337
## 2425 GREATER LONDON WC2B5ND 530353 181282
## 2426 GREATER LONDON WC1H0NJ 530098 182164
## 2427 GREATER LONDON NW34XA 527349 184920
## 2428 GREATER LONDON WC1N1BL 530282 182451
## 2429 GREATER LONDON NW64AR 526119 183995
## 2430 GREATER LONDON NW65NT 525693 183626
## 2431 GREATER LONDON NW63PG 525848 184216
## 2432 GREATER LONDON WC1H9HE 529822 182403
## 2433 GREATER LONDON NW61NJ 524866 185124
## 2434 GREATER LONDON NW34RX 527461 184948
## 2435 GREATER LONDON NW34XA 527349 184920
## 2436 GREATER LONDON NW53EJ 528631 184919
## 2437 GREATER LONDON NW65NT 525693 183626
## 2438 GREATER LONDON NW51RJ 528705 186466
## 2439 GREATER LONDON NW64AR 526119 183995
## 2440 GREATER LONDON NW13SB 529060 183026
## 2441 GREATER LONDON NW33JH 526948 184350
## 2442 GREATER LONDON NW19TB 529508 184257
## 2443 GREATER LONDON NW23TH 524629 184968
## 2444 GREATER LONDON NW23TP 524765 184758
## 2445 GREATER LONDON NW51RZ 528614 186188
## 2446 GREATER LONDON NW62JR 524996 184477
## 2447 GREATER LONDON NW53BX 528911 184950
## 2448 GREATER LONDON NW65NS 525693 183626
## 2449 GREATER LONDON N195AD 529357 185607
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## 2451 GREATER LONDON NW36HS 525616 185356
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## 2453 GREATER LONDON NW64AR 526119 183995
## 2454 GREATER LONDON N66DS 528443 186863
## 2455 GREATER LONDON NW52AS 529380 184781
## 2456 GREATER LONDON NW52BD 529457 185034
## 2457 GREATER LONDON NW65NS 525693 183626
## 2458 GREATER LONDON WC1H0LP 530098 182164
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## 2464 GREATER LONDON NW65NR 525693 183626
## 2465 GREATER LONDON WC1H9HG 529822 182403
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## 2468 GREATER LONDON NW65NR 525693 183626
## 2469 GREATER LONDON NW65NT 525693 183626
## 2470 GREATER LONDON NW64DP 525813 183930
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## 2472 GREATER LONDON NW13HP 529085 182469
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## 2474 GREATER LONDON NW33JH 526948 184350
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## 2480 GREATER LONDON WC1H0LW 530098 182164
## 2481 GREATER LONDON WC1H9QS 530220 182479
## 2482 GREATER LONDON NW36AR 526239 185128
## 2483 GREATER LONDON NW62BB 524788 184973
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## 2485 GREATER LONDON NW10DX 529300 183716
## 2486 GREATER LONDON NW52BA 529536 184966
## 2487 GREATER LONDON NW34RL 527782 184693
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## 2489 GREATER LONDON NW23EY 524146 185365
## 2490 GREATER LONDON NW80SJ 526041 183910
## 2491 GREATER LONDON WC1H0LL 530098 182164
## 2492 GREATER LONDON W1T1SW 529427 181656
## 2493 GREATER LONDON NW65NR 525693 183626
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## 2495 GREATER LONDON NW65NT 525693 183626
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## 2497 GREATER LONDON WC1H0NF 530098 182164
## 2498 GREATER LONDON NW61RZ 525572 184702
## 2499 GREATER LONDON WC1H9ES 530148 182570
## 2500 GREATER LONDON NW32UU 527673 185162
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## 2502 GREATER LONDON NW34RX 527461 184948
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## 2505 GREATER LONDON WC1H9HE 529822 182403
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## 2508 GREATER LONDON WC1H9HE 529822 182403
## 2509 GREATER LONDON NW34RX 527461 184948
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## 2511 GREATER LONDON NW61DW 525106 185619
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## 2513 GREATER LONDON WC2H8AJ 529962 181335
## 2514 GREATER LONDON NW19YJ 530011 184240
## 2515 GREATER LONDON WC1X0AG 531033 182095
## 2516 GREATER LONDON NW32HX 528076 185550
## 2517 GREATER LONDON NW37RP 525620 186007
## 2518 GREATER LONDON N1C4AF 530238 183841
## 2519 GREATER LONDON N1C4AF 530238 183841
## 2520 GREATER LONDON NW61NJ 524866 185124
## 2521 GREATER LONDON NW61PB 525435 184942
## 2522 GREATER LONDON NW64JP 525062 184131
## 2523 GREATER LONDON NW62BB 524788 184973
## 2524 GREATER LONDON WC1N1AP 530145 182341
## 2525 GREATER LONDON NW32BH 528023 184566
## 2526 GREATER LONDON NW34NT 526922 184542
## 2527 GREATER LONDON NW10JH 529171 183474
## 2528 GREATER LONDON NW64DP 525813 183930
## 2529 GREATER LONDON NW23TW 524702 184975
## 2530 GREATER LONDON NW35UN 526653 185571
## 2531 GREATER LONDON NW32XD 527525 185278
## 2532 GREATER LONDON NW35DP 526630 184429
## 2533 GREATER LONDON WC1H9RD 530042 182332
## 2534 GREATER LONDON NW23SD 524389 185149
## 2535 GREATER LONDON NW34NS 526876 184598
## 2536 GREATER LONDON WC1H9RD 530042 182332
## 2537 GREATER LONDON NW80SL 526091 183931
## 2538 GREATER LONDON NW54RJ 528388 185108
## 2539 GREATER LONDON WC1N3LH 530651 181992
## 2540 GREATER LONDON NW17JE 529153 183427
## 2541 GREATER LONDON NW63AA 525577 184104
## 2542 GREATER LONDON NW52HJ 529054 185587
## 2543 GREATER LONDON NW64LE 525308 184212
## 2544 GREATER LONDON NW62NN 525262 184270
## 2545 GREATER LONDON WC1N3EN 530662 182151
## 2546 GREATER LONDON NW61DY 524942 185336
## 2547 GREATER LONDON NW61PN 525262 184882Right-o. We have seen things like this before. Let’s quickly plot out what looks like the lattitude/longitude data:
plot(houses$oseast1m, houses$osnrth1m)
Yep - looks about right. Probably doing the right thing that we can map the two together. If we turn this object (which is just a dataframe) into a SpatialPointsDataFrame (like OA.Census) then we will be able to layer them on one another! We need to be a bit careful about that coordinate frame thing again though (i.e. we need to set it again).
So. We need to set what the data is to be included (houses), what columns contain the x and y coordinates (houses[,3:4]), and what projection system we are using (CRS("+init=EPSG:27700")).
House.Points <-SpatialPointsDataFrame(houses[,8:9], houses, proj4string = CRS("+init=EPSG:27700"))Let’s print it just to be sure:
House.Points## class : SpatialPointsDataFrame
## features : 2547
## extent : 524048, 531511, 181067, 187470 (xmin, xmax, ymin, ymax)
## coord. ref. : +init=EPSG:27700 +proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +datum=OSGB36 +units=m +no_defs +ellps=airy +towgs84=446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894
## variables : 9
## names : UID, Price, Date, Street, District, Region, Postcode, oseast1m, osnrth1m
## min values : 284509, 400, 01/02/2015 0:00, ABBEY ROAD, CAMDEN, GREATER LONDON, EC1M3HA, 524048, 181067
## max values : 927842, 22500000, 12/31/2015 0:00, YORK WAY, ISLINGTON, GREATER LONDON, WC2H9RG, 531511, 187470# creates a coloured dot map
tm_shape(OA.Census) + tm_borders(alpha=.4) +
tm_shape(House.Points) + tm_dots(col = "Price", palette = "Reds", style = "quantile") 
Alright! That’s kind of nice! Again. You can keep going, and adding to this map if you check out Practical 6 of https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r, we are going to move onto Kernel smoothing!
Kernel smoothing
A point pattern is really just a collection of geographical points, that are assumed to be generated by a random process. Let’s imagine the series of points in an \((x,y)\) coordinate system, then we can imagine the vector of \(n\) observations: \(\bf{x}_i=\{(x_1, y_1), (x_2,y_2)\dots, (x_n,y_n)\}\) for some variable of interest.
One way to analyse these type of point distributions is to perform kernel smoothing, where you replace each point \(x_i\) with a kernel, which is just a simple localised function \(f(x_i)\) centred on each of our points. We can then and add up all these kernels to get a smooth intensity function, which describes how the distribution of points behaves over space. You could really just think of this as a “bump averaging process”.
To visualise this process, imagine that you have some blotter paper, and you are putting a dot of ink at each point over your paper. The ink will spread out, with a darker spot in the centre. If you do this for a lot of different dots, then they will start to overlap, getting darker. That is your intensity function!
You need to decide things like what type of kernel function to use, what shape it has etc. but the density function in spatstat uses some pretty good ones for you. However, we are going to use a more modern package that couples very nicely with our tmap object.
The kernelUD function runs a straightforward estimation of our houce price data:
library(adehabitatHR)## Loading required package: deldir## deldir 0.1-14## Loading required package: ade4## Warning: package 'ade4' was built under R version 3.4.1## Loading required package: adehabitatMA## Loading required package: adehabitatLT## Loading required package: CircStats## Loading required package: MASS## Loading required package: boot# runs the kernel density estimation,look up the function parameters for more options
kde.output <- kernelUD(House.Points, h="href", grid = 1000)## Warning in kernelUD(House.Points, h = "href", grid = 1000): xy should contain only one column (the id of the animals)
## id ignoredplot(kde.output)
Interesting. Can we put it on our map? First we have to convert it to a raster object, and set its coordinate system, so that we can then map it onto our previous map:
library(raster)##
## Attaching package: 'raster'## The following objects are masked from 'package:MASS':
##
## area, select## The following object is masked from 'package:adehabitatMA':
##
## buffer#convert our kernel density map to a raster object
kde <- raster(kde.output)
# set the coordinate projection of our object to British National Grid (the one we have been using all along)
projection(kde) <- CRS("+init=EPSG:27700")
#map it!
tm_shape(kde) + tm_raster("ud")
We can zoom in to match it to our previous map (if you have forgotten then go back up and remind yourself of what the Output.Areas map was!)
masked_kde <- mask(kde, Output.Areas)
plot(masked_kde) # a quick sanity check!
Nice! Let’s neaten it up a bit! (There is normally a good bet that the plot function will exist for things of these type, so it is worth a try if you don’t know what to do with something.)
library(tmaptools) # provides a set of tools for processing spatial data
# creates a bounding box based on the extents of the Output.Areas polygon (to make our map smaller)
bounding_box <- bb(Output.Areas)
# maps the raster within the bounding box
tm_shape(masked_kde, bbox = bounding_box) + tm_raster("ud")
But if we want to get something nicer still we can keep on fiddling… I will leave it for you to look up all the calls in the help!
tm_shape(masked_kde, bbox = bounding_box) + tm_raster("ud", style = "quantile", n = 100, legend.show = FALSE, palette = "YlGnBu") +
tm_shape(Output.Areas) + tm_borders(alpha=.3, col = "white") +
tm_layout(frame = FALSE)
Nice! That tells us a lot about how house prices are changing as we move around in Camden. (Any groups think that might be useful? ;)
More information
- Practical 8 of https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r
- A very detailed online book: http://www.spatialanalysisonline.com/HTML/index.html?introduction_and_terminology.htm
- https://campus.datacamp.com/courses/spatial-statistics-in-r/ A data camp course that has some good practice exercises, although I find it a bit longwinded in some of the examples.
- Chapter 6 of Brunsdon, C., & Comber, L. (2015). An introduction to R for spatial analysis and mapping. Sage. (Available in library: http://find.lib.uts.edu.au/?R=OPAC_b2914294)
Spatial Attribute Analysis
Quite often we get data in regions (e.g. LGA, SA4 etc.) instead of as a point function. This is so common that there are a whole range of techniques for dealing with it.
Spatial Autocorrelaton
Spatial autocorrelation is an extension of temporal autocorrelation (which we covered in the workbook on Time Series). It is a bit more complex though, as spatial objects have (at least) two dimensions and, like we have seen above, the regions can have complex shapes. This means that it may not be obvious how to determine what is “near”, and there are lots of different measures of this (we are just going to consider one, but you will find lots of resources about other methods as you work through this section).
At its hear then, a spatial autocorrelation measures how distance influences a particular variable. Basically, we expect things that are close together to be similar. So for example, a contagious disease is more likely to spread to people who live close to each other, or people tend to cluster together in suburbs with people like them. Can we think of a variable that might do this in our dataset? What about qualifications? You might expect that suburbs with a lot of people with degrees will tend to cluster together perhaps.
Let’s go back to our map, and adjust it a bit to see if this might be occurring in Camden.
tm_shape(OA.Census) + tm_fill("Qualification", palette = "Reds", style = "quantile", title = "% with a Qualification") + tm_borders(alpha=.4) 
Looks like this might be happening actually. How could we test whether this is statistically significant though? We will use the spdep package to look at spatial autocorrelation.
library(spdep)## Warning: package 'spdep' was built under R version 3.4.1## Loading required package: Matrix##
## Attaching package: 'spdep'## The following object is masked from 'package:ade4':
##
## mstreeFirst, we have to find out which polygons in our map are neighbours with one another. We are going to use one particular method here:
neighbours <- poly2nb(OA.Census, queen = FALSE)
neighbours## Neighbour list object:
## Number of regions: 749
## Number of nonzero links: 4176
## Percentage nonzero weights: 0.7443837
## Average number of links: 5.575434By setting queen = FALSE we have set up our map to use a definition of neighbours where more than one shared point is required for two regions to be defined as neighbouring one another. (Look up more options in ?poly2nb and you can find out a lot more details about this in these slides: http://www.bias-project.org.uk/ASDARcourse/unit6_slides.pdf).
We can plot this list of neighbours on our map
plot(OA.Census, border = 'lightgrey')
plot(neighbours, coordinates(OA.Census), add=TRUE, col='red')
Ok. Now we can run an autoregression. First we have to convert our neighbours object to the right kind of data object, one that has weights:
listw <- nb2listw(neighbours)
listw## Characteristics of weights list object:
## Neighbour list object:
## Number of regions: 749
## Number of nonzero links: 4176
## Percentage nonzero weights: 0.7443837
## Average number of links: 5.575434
##
## Weights style: W
## Weights constants summary:
## n nn S0 S1 S2
## W 749 561001 749 285.3793 3113.982Compare listw and neighbours. See that our new list has extra information about weights? We have specified what type of coding scheme we are going to use, that is, how neighbours with no links should be treated etc. See the preliminary details at ?nb2listw, but if you want to find out more about this process then you could check out slides 23-26 of this set: http://www.bias-project.org.uk/ASDARcourse/unit6_slides.pdf (Lots of other details in here too!)
Ok. We can now run a test for spatial autocorrelation! We are going to use Moran’s test, which creates a correlation score between -1 and 1. Have a look at ?moran to find out more about Moran’s I works, but basically it measures spatial autocorrelation based on both feature locations and feature values simultaneously. (See the wikipedia page for a bit more info: https://en.wikipedia.org/wiki/Moran%27s_I) Enough already - lets do the test! Are the regions autocorrelated?
moran.test(OA.Census$Qualification, listw)##
## Moran I test under randomisation
##
## data: OA.Census$Qualification
## weights: listw
##
## Moran I statistic standard deviate = 24.292, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 0.5448699398 -0.0013368984 0.0005055733Ok. Our p-value is significant and our I statistic is positive (i.e correlated). So the regions seem to be somewhat correlated, as we expected to see from the red image above where we saw that regions with more qualifications tended to cluster together. This page has more details about interpreting Moran’s I, athough it is for a different package from R: http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#/How_Spatial_Autocorrelation_Global_Moran_s_I_works/005p0000000t000000/
This is what is known as a global autocorrelation test. We are looking over the whole map to measure spatial correlation.
We can also do a local test for autocorrelation. Let’s start by looking at how the Qualifications are changing against spatially lagged values. If you want to find out more about how this works, then this page is a great place to start: http://rspatial.org/analysis/rst/3-spauto.html
moran <- moran.plot(OA.Census$Qualification, listw = nb2listw(neighbours, style = "W"))
Hmmm… seems like there might be some sort of a positive relationship? There are quite a few outliers, perhaps we can learn a bit more. The localmoran function is what we need (check the help file)
local <- localmoran(x = OA.Census$Qualification, listw = nb2listw(neighbours, style = "W"))
head(local)## Ii E.Ii Var.Ii Z.Ii Pr(z > 0)
## 0 0.04369897 -0.001336898 0.2486902 0.09030862 0.46402099
## 1 0.05684782 -0.001336898 0.2486902 0.11667547 0.45355861
## 2 -0.13604966 -0.001336898 0.1415364 -0.35807555 0.63985661
## 3 0.49387693 -0.001336898 0.3320321 0.85941460 0.19505591
## 4 0.64934401 -0.001336898 0.1415364 1.72955349 0.04185504
## 5 -0.28284849 -0.001336898 0.4987159 -0.39862974 0.65491698Right… so this is producing a whole set of values for each region! We could add this to our shapefile and then we would be able to map it…
# binds results to our polygon shapefile
moran.map <- cbind(OA.Census, local)
# maps the results
tm_shape(moran.map) + tm_fill(col = "Ii", style = "quantile", title = "local moran statistic") 
So this shows us the variations in autocorrelation across space. But are they significant? We could try mapping the p-values the same way. First we need to work out what they are called:
names(moran.map@data)## [1] "OA11CD" "White_British" "Low_Occupancy" "Unemployed"
## [5] "Qualification" "Ii" "E.Ii" "Var.Ii"
## [9] "Z.Ii" "Pr.z...0."# maps the p-values
tm_shape(moran.map) + tm_fill(col = "Pr.z...0.", style = "fixed", breaks=c(0.001,0.01,0.05,0.1,0.2,1), title = "p-values") 
Interesting… Can you interpret this? Is it what you expected? (Make sure you look at both the local moran statistics and the p-values in interpreting your results.)
In practice you should really be comparing this to a randomly generated Markov Chain approach. The Data Camp course on https://campus.datacamp.com/courses/spatial-statistics-in-r/ goes into this in a lot of detail.
More information
- Practical 9 of https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r is very brief, and does not go into a lot more details than what we have covered. You would do well to use some of the extra resources below as well to find out more.
- A nice workbook on spatial autocorrelation http://rspatial.org/analysis/rst/3-spauto.html
- A whole online book on Geospatial Analysis, which has a section on spatial autocorrelation: http://www.spatialanalysisonline.com/HTML/?spatial_autocorrelation.htm
- This set of slides goes into a lot more details about the various ways of calculating distance, how the
spdepfunctions work etc. Worth checking out if you want to know more: http://www.bias-project.org.uk/ASDARcourse/unit6_slides.pdf - https://campus.datacamp.com/courses/spatial-statistics-in-r/
- Chapter 7 of Brunsdon, C., & Comber, L. (2015). An introduction to R for spatial analysis and mapping. Sage. (Available in library: http://find.lib.uts.edu.au/?R=OPAC_b2914294)
- A spatial analysis completed by a past STDS student for Assessment 3: https://16-6143.ca.uts.edu.au/spatial-investigation-of-bom-data-assumption-used-in-earlier-asthma-hospiatlisation-investigation/
Geographically Weighted Regression
Ok… final step! Can we work out how to use areas in a regression model? Yes we can! Geographically Weighted Regression (GWR) can be used to identify how regression coefficients may vary across the study area. (So it relaxes assumptions about stationarity for spatial data.)
Standard linear regression over a geographical dataset
First, let’s try running just a normal regression model, that tries to explain Qualifications in terms of the other variables in the census dataset:
lm.model <- lm(OA.Census$Qualification ~ OA.Census$Unemployed+OA.Census$White_British)
summary(lm.model)##
## Call:
## lm(formula = OA.Census$Qualification ~ OA.Census$Unemployed +
## OA.Census$White_British)
##
## Residuals:
## Min 1Q Median 3Q Max
## -50.311 -8.014 1.006 8.958 38.046
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 47.86697 2.33574 20.49 <2e-16 ***
## OA.Census$Unemployed -3.29459 0.19027 -17.32 <2e-16 ***
## OA.Census$White_British 0.41092 0.04032 10.19 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 12.69 on 746 degrees of freedom
## Multiple R-squared: 0.4645, Adjusted R-squared: 0.463
## F-statistic: 323.5 on 2 and 746 DF, p-value: < 2.2e-16Its not a bad model. Explains 46.5% of the variance, good p-values… what do the residuals look like?
plot(lm.model)
Not brillant, but kind of ok. Is there a spatial distribution to them though? (There should be - we just found it using the spatial autocorrelation stuff!)
resids<-residuals(lm.model)
map.resids <- cbind(OA.Census, resids)
# we need to rename the column header from the resids file - in this case its the 6th column of map.resids
names(map.resids)[6] <- "resids"
# maps the residuals using the quickmap function from tmap
qtm(map.resids, fill = "resids")
tm_shape(map.resids) + tm_fill("resids") 
Seems like there might be a bit of a spatial dependence there.
GWR
Ok. Can we take account of spatial variables along with our regression model? First we need to work out how to model the kernel. We will use
library("spgwr")## NOTE: This package does not constitute approval of GWR
## as a method of spatial analysis; see example(gwr)#calculate kernel bandwidth
GWRbandwidth <- gwr.sel(OA.Census$Qualification ~ OA.Census$Unemployed+OA.Census$White_British, data=OA.Census,adapt=T)## Adaptive q: 0.381966 CV score: 101420.8
## Adaptive q: 0.618034 CV score: 109723.2
## Adaptive q: 0.236068 CV score: 96876.06
## Adaptive q: 0.145898 CV score: 94192.41
## Adaptive q: 0.09016994 CV score: 91099.75
## Adaptive q: 0.05572809 CV score: 88242.89
## Adaptive q: 0.03444185 CV score: 85633.41
## Adaptive q: 0.02128624 CV score: 83790.04
## Adaptive q: 0.01315562 CV score: 83096.03
## Adaptive q: 0.008130619 CV score: 84177.45
## Adaptive q: 0.01535288 CV score: 83014.34
## Adaptive q: 0.01515437 CV score: 82957.49
## Adaptive q: 0.01436908 CV score: 82857.74
## Adaptive q: 0.01440977 CV score: 82852.4
## Adaptive q: 0.01457859 CV score: 82833.25
## Adaptive q: 0.01479852 CV score: 82855.45
## Adaptive q: 0.01461928 CV score: 82829.32
## Adaptive q: 0.01468774 CV score: 82823.82
## Adaptive q: 0.01473006 CV score: 82835.89
## Adaptive q: 0.01468774 CV score: 82823.82Ok. Now we can use this value of the bandwidth in our model (don’t forget to look up the relevant help pages to find out what we are doing here!)
#fit the gwr model (note it has the same formula as before)
gwr.model = gwr(OA.Census$Qualification ~ OA.Census$Unemployed+OA.Census$White_British, data = OA.Census, adapt=GWRbandwidth, hatmatrix=TRUE, se.fit=TRUE)
#OK. What did it do?
gwr.model## Call:
## gwr(formula = OA.Census$Qualification ~ OA.Census$Unemployed +
## OA.Census$White_British, data = OA.Census, adapt = GWRbandwidth,
## hatmatrix = TRUE, se.fit = TRUE)
## Kernel function: gwr.Gauss
## Adaptive quantile: 0.01468774 (about 11 of 749 data points)
## Summary of GWR coefficient estimates at data points:
## Min. 1st Qu. Median 3rd Qu. Max.
## X.Intercept. 11.08183 34.43427 45.76862 59.75372 85.01866
## OA.Census.Unemployed -5.45291 -3.28308 -2.55398 -1.79413 0.77019
## OA.Census.White_British -0.28046 0.19955 0.37788 0.53216 0.94678
## Global
## X.Intercept. 47.8670
## OA.Census.Unemployed -3.2946
## OA.Census.White_British 0.4109
## Number of data points: 749
## Effective number of parameters (residual: 2traceS - traceS'S): 132.6449
## Effective degrees of freedom (residual: 2traceS - traceS'S): 616.3551
## Sigma (residual: 2traceS - traceS'S): 9.903539
## Effective number of parameters (model: traceS): 94.44661
## Effective degrees of freedom (model: traceS): 654.5534
## Sigma (model: traceS): 9.610221
## Sigma (ML): 8.983902
## AICc (GWR p. 61, eq 2.33; p. 96, eq. 4.21): 5633.438
## AIC (GWR p. 96, eq. 4.22): 5508.777
## Residual sum of squares: 60452.16
## Quasi-global R2: 0.7303206So… what happened? Let’s compare a few things. First - what are the components of the models?
names(lm.model)## [1] "coefficients" "residuals" "effects" "rank"
## [5] "fitted.values" "assign" "qr" "df.residual"
## [9] "xlevels" "call" "terms" "model"names(gwr.model)## [1] "SDF" "lhat" "lm" "results" "bandwidth"
## [6] "adapt" "hatmatrix" "gweight" "gTSS" "this.call"
## [11] "fp.given" "timings"What if we look at the coefficients for the global model (i.e. the standard linear regression fit) again?
lm.model$coefficients## (Intercept) OA.Census$Unemployed OA.Census$White_British
## 47.8669683 -3.2945908 0.4109194How do these compare with the ranges of the intercept and the model coefficients in the summary for gwr.model? What has changed by us running a local regression? They are not completely different, but if we compare the Median values then we see that they have changed a little bit.
This is because in our GWR, we have sets of these intercept and coefficient values for each map region (along with a whole heap of information about the error of the fit at that point) . We can look at them easily if we force the part of the model with the fit.points etc. to a data.frame
results <-as.data.frame(gwr.model$SDF)
results## sum.w X.Intercept. OA.Census.Unemployed OA.Census.White_British
## 0 19.37380 39.76308 -2.1211713492 0.414463271
## 1 17.79613 42.74097 -2.4024754114 0.374598275
## 2 18.86774 35.35643 -1.4200146223 0.478541226
## 3 16.58991 55.13559 -3.1861815918 0.354558391
## 4 17.85662 31.68033 -2.5145694238 0.501301175
## 5 18.04502 35.65075 -0.7457600625 0.354764143
## 6 18.89680 14.03275 -0.7172170305 0.805499417
## 7 21.28691 24.58915 -2.0543140548 0.578120491
## 8 20.83696 32.44440 -2.9874190821 0.669111544
## 9 23.59242 28.26489 -2.7938474261 0.670004575
## 10 15.10755 39.85191 -0.7170766455 0.182464850
## 11 18.83716 21.23349 -0.8534894413 0.674637674
## 12 17.78281 40.93457 -1.5210056021 -0.118911738
## 13 21.91709 43.09064 -1.6724936501 0.323667918
## 14 20.16734 28.29454 -1.8786756205 0.485223932
## 15 20.27849 64.22671 -2.6778137206 0.211661624
## 16 25.36826 35.45753 -2.5987206319 0.483287498
## 17 35.57794 61.40750 -3.8413440198 0.193823825
## 18 18.87297 52.87810 -1.9352914911 0.045000977
## 19 17.02539 52.04673 -1.9340566636 0.055030118
## 20 15.84963 47.55910 -1.1504928296 0.084314535
## 21 22.11856 53.57755 -2.5981094309 0.128052537
## 22 20.10608 38.10624 -2.1465714378 0.385018238
## 23 31.34068 35.71472 -1.3786807438 0.468371233
## 24 17.40370 50.87960 -3.4691152324 0.384017241
## 25 20.86227 35.53400 0.3528602711 0.518859940
## 26 24.46059 33.58581 -0.5210514444 0.599113336
## 27 25.29005 41.53943 -3.1043639047 0.478109606
## 28 24.61276 23.98491 -1.5471061864 0.638017155
## 29 20.80277 51.86675 -2.9047244198 0.388187572
## 30 18.68480 35.41388 -1.5278374139 0.468980370
## 31 22.32095 51.08233 -3.5601197796 0.396822536
## 32 22.75895 31.40838 -2.7173535822 0.575589059
## 33 21.58603 57.99457 -2.7912847071 0.381565033
## 34 20.92101 24.86821 -1.2685717220 0.338677230
## 35 24.14810 33.29310 -2.3216384981 0.382865362
## 36 19.62927 72.30615 -3.5814647211 0.141580495
## 37 23.40419 32.13484 -2.2004615374 0.391075670
## 38 20.80106 70.20222 -3.1928234128 0.132735841
## 39 23.32264 47.98363 -3.5540017855 0.607432310
## 40 15.53839 60.52869 -4.0790722954 0.302841016
## 41 23.79648 60.11323 -3.2118909259 0.358042840
## 42 24.85753 60.15514 0.0690532430 0.034277724
## 43 14.58020 51.35902 -3.1108136937 0.318841276
## 44 17.42853 53.01573 -2.6859321709 0.183710303
## 45 25.70224 33.94851 -3.3511195457 0.628618966
## 46 23.16224 31.35297 -3.4924843564 0.664932871
## 47 17.93635 28.52212 -2.8416351472 0.919494289
## 48 18.51631 30.17978 -2.9336067889 0.927555245
## 49 19.48215 35.89585 -3.1481843992 0.783043396
## 50 20.30936 64.81946 -4.0947323481 0.266721339
## 51 20.26210 22.07974 -1.2377028599 0.645436146
## 52 24.01974 16.44619 -1.2508618878 0.791735897
## 53 18.86319 67.63203 -0.6125824600 0.048504238
## 54 25.97566 74.27669 -3.0257479121 0.064007760
## 55 25.72173 78.58275 -4.1407424710 0.051519670
## 56 17.91068 48.99736 -1.9181315221 0.478234290
## 57 23.68628 43.39913 -2.1849286708 0.535036199
## 58 17.65259 47.31774 -2.0718083229 0.503862083
## 59 25.26113 57.39812 -2.5207685126 0.347860238
## 60 23.55969 53.39561 -2.4028279801 0.427805605
## 61 25.88338 66.67883 -1.2121994645 0.004521077
## 62 21.05026 48.48801 -0.2093023020 0.332234101
## 63 19.24217 44.91166 -2.4984110615 0.387924000
## 64 16.08152 44.60861 -2.8284607894 0.401802485
## 65 15.94761 39.41564 -1.5859448711 0.429605794
## 66 29.04379 53.82083 -3.8301884590 0.324877632
## 67 20.85057 26.41993 -2.1432170158 0.523412680
## 68 22.34262 35.79217 -3.1625819596 0.615814395
## 69 21.56664 41.77528 -3.1076506365 0.545897914
## 70 21.64112 24.68672 -2.6189932566 0.694961869
## 71 22.39748 24.37821 -2.2312603913 0.600448845
## 72 27.10626 64.00311 -3.5152886976 0.270289200
## 73 15.21479 42.77472 -2.1886597939 -0.102291687
## 74 24.93216 41.80220 -2.2503164528 0.583987784
## 75 22.15965 38.13164 -2.0492046033 0.588609861
## 76 25.39222 70.06144 -2.3699673930 0.023355922
## 77 29.15402 65.44833 -2.4407654989 0.156744593
## 78 23.32344 54.39140 -1.3713225314 0.319540134
## 79 23.58290 16.93760 -1.0129913948 0.724469036
## 80 14.99943 17.06564 0.0061844328 0.696810839
## 81 21.97017 18.10128 -0.9407713575 0.700704601
## 82 18.43269 27.10569 -1.9494803179 0.593559444
## 83 17.24288 17.28847 -0.6898303901 0.739857750
## 84 21.81817 37.62261 -2.1335608342 0.482510793
## 85 18.17467 21.84987 -2.8109841418 0.750144487
## 86 24.38576 37.98521 -2.4245289061 0.472981729
## 87 18.35300 28.22116 -3.0364592794 0.666150491
## 88 16.38575 36.40072 -2.0166155655 0.512795628
## 89 23.77568 33.56745 -2.8743905172 0.578134889
## 90 16.41189 34.82789 -3.5430568956 0.590302200
## 91 17.49687 44.05623 -3.4601935441 0.499974047
## 92 19.88970 38.11055 -2.9955679087 0.847920228
## 93 29.24389 62.99613 -3.7050011373 0.166396849
## 94 14.51563 31.87483 -0.7171356434 -0.025660334
## 95 15.50293 57.75151 -3.0480796264 0.330413939
## 96 31.29840 39.59026 -2.0298034307 0.047564406
## 97 19.06677 49.73211 -2.8849836890 0.463642849
## 98 20.75726 59.30518 -3.2571889034 0.321594637
## 99 23.91458 63.68473 -3.7786181565 0.270775079
## 100 21.11768 52.15260 -3.3029382265 0.556694247
## 101 20.07068 46.77940 -2.8914524223 0.667420269
## 102 23.26137 68.44073 -2.2991457260 0.060970682
## 103 22.92422 61.46335 -2.6239898489 0.303319614
## 104 25.28656 18.98216 -1.1867001891 0.696765720
## 105 31.13340 76.52433 -3.7214358725 0.051624349
## 106 24.65607 69.44946 -1.0617987047 0.012778420
## 107 19.25560 25.89660 -1.6289308687 0.455364790
## 108 25.17095 27.68718 -1.8748937776 0.419150166
## 109 20.77925 61.76506 -3.8322775255 0.370768966
## 110 13.75274 50.44822 -3.1111909805 0.448730786
## 111 18.60089 79.42375 -4.9600325130 0.054374828
## 112 20.24917 41.55760 -1.9767358282 0.538692058
## 113 17.24657 70.55843 -5.3398317269 0.186397723
## 114 19.97526 46.74704 -2.5936969224 0.471011051
## 115 18.28553 28.95947 -3.0617289200 0.609631614
## 116 24.76023 17.33538 -1.1174871279 0.745268526
## 117 24.44260 18.46509 -1.3073197823 0.755379184
## 118 17.34357 32.76200 -2.1030329043 0.588975456
## 119 19.04217 40.47929 -2.0825610781 0.398221504
## 120 18.78009 37.81382 -1.6789494402 0.443314944
## 121 24.54611 39.86287 -3.9322839560 0.524867036
## 122 27.99130 67.16888 -1.1731558865 0.013892880
## 123 23.40287 64.57076 -0.2115651138 -0.008034078
## 124 23.98360 39.96992 -3.9713521272 0.532245227
## 125 18.83926 64.20908 -0.1167773875 0.046769977
## 126 19.06297 34.89604 -3.3967436671 0.573206117
## 127 25.30944 51.84235 -2.5669067636 0.233644888
## 128 24.39516 83.82377 -4.8600882162 -0.063434262
## 129 18.06662 30.82423 -1.9571950822 0.279362534
## 130 22.77566 84.11523 -4.9861779749 -0.050324158
## 131 19.11367 63.66643 -3.7795712743 0.239098155
## 132 16.40993 51.77634 -2.7651776521 0.249977094
## 133 19.83269 37.99780 -2.0149749030 0.354090765
## 134 19.83456 45.17112 -2.2155988609 0.234307162
## 135 20.55330 68.25900 -4.2549180835 0.115661829
## 136 16.76079 51.00922 -3.0118221020 0.423046640
## 137 20.20662 81.49949 -5.3526624922 0.005971911
## 138 20.24408 47.34838 -4.8496731617 0.493063364
## 139 19.73027 48.85007 -1.0284201044 0.387442967
## 140 22.65773 68.46181 -4.2429414329 0.089756796
## 141 16.62145 39.78780 -3.3667358195 0.493646135
## 142 19.76032 39.69785 -3.4702596808 0.494002094
## 143 20.49616 48.89616 -3.1829150637 0.368509248
## 144 18.11703 42.30887 -3.4843243810 0.476379992
## 145 18.18626 48.66783 -2.0330021332 0.491272251
## 146 23.16290 62.34459 -2.6207877542 0.233131597
## 147 16.97689 48.88394 -1.6612914186 0.481168914
## 148 28.67132 61.08380 -2.5285328166 0.260403672
## 149 17.65609 47.93464 -1.9664345339 0.525608990
## 150 19.03191 56.16103 -2.3204155230 0.085094235
## 151 22.19009 63.73597 -2.2973664998 0.176738984
## 152 18.23021 67.98363 0.0006334138 -0.055428014
## 153 74.01027 70.32559 -4.1531175183 0.086330061
## 154 21.17370 35.89798 -3.5335372084 0.559430997
## 155 31.32942 76.45646 -4.6695572477 0.086378731
## 156 21.05157 54.90054 -2.5845388197 0.074823175
## 157 22.03294 54.64523 -2.6575229779 0.137973136
## 158 22.06986 40.29069 -1.4058990602 0.249904372
## 159 21.38023 65.64869 -3.9343726397 0.153698190
## 160 17.91824 44.00066 -2.2173192873 -0.132763862
## 161 24.74376 30.66089 -1.7319647830 0.233724244
## 162 23.36744 27.44756 -1.1647938770 0.221060154
## 163 17.14333 40.42632 -2.2275639740 -0.011340561
## 164 19.75041 42.20793 -2.3024919516 0.061651127
## 165 21.58169 43.12014 -2.2671612206 -0.003293150
## 166 14.57852 43.49353 -1.9150867833 0.246268044
## 167 21.19856 61.79354 -3.1795958083 0.308482365
## 168 14.49486 68.08004 -3.8773494567 0.095930877
## 169 17.46927 61.41230 -3.7250195864 0.204089043
## 170 18.00216 48.16693 -2.8780822229 0.369691439
## 171 13.53476 51.15151 -3.1143197172 0.327051644
## 172 27.91064 72.61450 -1.9123989789 -0.072246995
## 173 22.56002 51.48962 0.1659054894 0.215696657
## 174 18.99537 78.38731 -0.2603515833 -0.280458378
## 175 22.24407 50.55827 0.4517387587 0.200906458
## 176 23.76402 39.87170 0.3313472279 0.431883177
## 177 24.88970 69.50144 -0.4393501225 -0.112156826
## 178 23.24383 71.15332 -0.1662318813 -0.144710310
## 179 16.51455 39.88821 -2.0216483237 0.520369410
## 180 27.77224 44.08058 -2.4755189510 0.562689573
## 181 20.63403 36.50969 -1.9356731095 0.607602808
## 182 33.33834 60.72051 -2.8928001040 0.302021061
## 183 15.00755 16.49223 -0.1978979288 0.720072358
## 184 25.21798 20.55351 -1.2746743669 0.673108975
## 185 19.90973 23.42380 -1.0591178083 0.666151976
## 186 19.29234 20.10202 -0.6305304357 0.688960602
## 187 18.15488 59.04797 -3.1395473418 0.341796821
## 188 21.20169 47.69365 -3.1121274948 0.475610714
## 189 20.40111 57.36257 -2.9983576044 0.421110807
## 190 18.39305 57.46614 -2.5701187877 0.390239448
## 191 21.01424 62.19360 -3.3324942006 0.344416597
## 192 23.18200 59.86374 -3.2977947285 0.363013097
## 193 21.14854 19.86992 -1.7377608608 0.739035206
## 194 54.97570 25.59242 -1.8898369434 0.579357992
## 195 17.21291 23.36832 -1.9558766679 0.736093976
## 196 22.14039 43.30503 -2.2683119725 -0.033075522
## 197 16.84320 29.51141 -2.9441538524 0.864435024
## 198 17.52453 31.76493 -3.0677290270 0.826875351
## 199 21.98208 46.46871 -3.7728935622 0.581546685
## 200 15.54229 56.23186 -2.2743600865 0.092133599
## 201 20.06470 39.21574 -1.7026542795 0.220253907
## 202 23.25699 83.32485 -5.2592893756 -0.051463613
## 203 27.60650 52.44079 -4.8873568512 0.414770989
## 204 16.16816 53.41362 -2.9761233701 0.361810634
## 205 19.16979 27.98554 -2.1278545675 0.583749050
## 206 22.44424 45.98950 -3.0355921267 0.386347215
## 207 20.51663 44.79247 -0.1210691171 0.405913154
## 208 21.74192 22.69550 -1.4054823583 0.679541784
## 209 17.55086 50.85757 -2.7954927616 0.379535357
## 210 17.07851 65.54049 -3.9484643537 0.138236681
## 211 22.91801 43.47182 -2.3185416497 0.516600439
## 212 25.67960 34.58164 -2.3434158143 0.531196176
## 213 20.27559 50.65025 -2.8050040659 0.420063939
## 214 20.12327 61.58141 -3.9776304950 0.194039935
## 215 21.88176 14.67641 -0.7849592405 0.794098458
## 216 19.00054 53.42573 -3.0063689850 0.366593526
## 217 19.40375 29.19779 -2.1254378946 0.553853412
## 218 18.07880 46.06373 -2.5143319199 0.451698888
## 219 24.89235 31.43561 -2.2417658220 0.543679633
## 220 17.82606 48.24952 -2.7694882803 0.346587283
## 221 16.68663 47.36085 -2.8209933459 0.382305495
## 222 21.39624 48.41613 -2.7630855218 0.313653375
## 223 19.45308 50.04756 -2.9126867909 0.304523509
## 224 19.63131 51.02405 -2.9705337076 0.292493630
## 225 13.51236 46.81180 -2.8244971673 0.402667433
## 226 18.58798 51.48870 -3.0086483402 0.292107317
## 227 16.37687 48.67474 -2.9550040144 0.370616586
## 228 19.70546 42.97804 -2.2342889499 0.374651233
## 229 21.45886 40.33781 -1.9116702736 0.415643196
## 230 21.45980 36.25570 -3.1404746282 0.630602070
## 231 18.78388 24.56752 -1.9122753678 0.534811292
## 232 17.48851 27.00531 -2.1994063054 0.522081827
## 233 20.85152 27.73880 -2.8414805503 0.699133432
## 234 19.10513 21.11546 -1.9119459544 0.639087751
## 235 22.39451 25.64917 -2.1931327378 0.582729357
## 236 25.52069 46.83457 -3.3512745048 0.479974020
## 237 20.34070 33.45843 -0.7755221410 0.466310670
## 238 25.86343 34.72769 -1.3998218720 0.406818811
## 239 21.48571 41.04308 -1.8333248072 0.188821434
## 240 16.08661 23.81496 -0.8448685504 0.641813858
## 241 19.16974 18.70119 -0.4728682895 0.695833365
## 242 31.66168 38.76154 -1.6558172670 0.438124373
## 243 21.65045 28.79867 -1.9121898013 0.393047660
## 244 29.99453 65.16403 -3.2190705641 0.232362729
## 245 21.30068 19.53428 -1.0916297021 0.631363077
## 246 21.98445 70.43976 -3.1993385131 0.110793441
## 247 18.01805 22.73698 -1.3113607851 0.612487099
## 248 35.43863 62.37331 -3.7989752954 0.180499139
## 249 22.45563 27.99245 -1.9034023607 0.567197598
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## 568 21.13417 66.39099 -5.4379742065 0.253183153
## 569 23.83261 44.39442 -2.3158856775 0.498816113
## 570 24.04740 58.34969 -5.2357625426 0.351356951
## 571 22.94473 39.49576 -1.5296032717 0.554105544
## 572 18.81859 57.47298 -5.2270912142 0.374099473
## 573 19.97560 45.30368 -0.7940043457 0.427701971
## 574 19.62998 78.57372 -5.2344222725 0.066420322
## 575 18.03565 16.12861 -1.1060314256 0.801922310
## 576 25.09546 22.49780 -1.5318704942 0.656010293
## 577 15.56207 15.32079 -0.8711648940 0.787377922
## 578 15.78050 15.01578 -0.6310334504 0.776548571
## 579 24.34447 18.42650 -1.1891421711 0.722341756
## 580 22.18002 16.93244 -1.1664131693 0.777056625
## 581 25.70463 15.49515 -0.8788128639 0.774987395
## 582 18.75255 16.74600 -1.1588195393 0.786154660
## 583 24.18467 28.75760 -1.7323989062 0.572113065
## 584 19.59392 34.89837 -2.4076230125 0.572764158
## 585 19.86205 34.43427 -2.4723021707 0.567970674
## 586 19.36285 31.16294 -2.1304315339 0.602219329
## 587 36.92893 36.96458 -3.1630340941 0.493938218
## 588 29.35354 33.88221 -2.4801656520 0.511705862
## 589 25.76720 34.82784 -2.9264205789 0.480499153
## 590 15.79564 26.94109 -3.0893737699 0.673793879
## 591 19.14345 64.55943 -1.1027439500 0.103128759
## 592 19.38585 36.14294 -3.4731293129 0.569265252
## 593 18.58363 68.74680 0.2343138118 -0.108965833
## 594 20.91438 65.68987 -1.0923492971 0.106917744
## 595 15.99285 22.89106 -3.0355399654 0.742902800
## 596 51.64297 67.70732 -2.5126577789 0.052808615
## 597 18.37093 26.26764 -2.8054058930 0.683595861
## 598 21.69513 60.86739 -5.3088022968 0.310514813
## 599 16.26503 25.36638 -2.6864459661 0.692666034
## 600 26.10611 70.54154 -2.3133591095 0.080335667
## 601 22.23598 42.95134 -4.0457240785 0.519580706
## 602 18.98893 63.26464 -0.5186466010 0.082347380
## 603 42.87236 70.39071 -4.8275535246 0.140030191
## 604 23.34044 51.36603 -2.4842946717 0.240444901
## 605 22.66894 50.28849 -2.5368509373 0.196803225
## 606 23.19048 52.45986 -2.6069681661 0.164373429
## 607 23.07432 19.46450 -1.6548025307 0.752520083
## 608 22.10651 20.04548 -1.6749729695 0.697837282
## 609 20.88867 50.74947 -2.3273437596 0.239756117
## 610 22.28739 53.66795 -2.2524584701 0.083635658
## 611 23.65986 33.21767 -2.9113676833 0.485952558
## 612 18.02955 33.61555 -1.8958204402 0.135275956
## 613 17.71768 30.57495 -1.8454389082 0.239827882
## 614 17.04201 35.41315 -1.8812361427 0.078584040
## 615 19.71462 32.37535 -2.0527988078 0.240483849
## 616 19.77450 31.84566 -1.9018921274 0.239516370
## 617 29.07813 22.51126 -1.9529600284 0.611254011
## 618 20.83262 36.30830 -2.1608872399 0.118762077
## 619 23.35291 28.32133 -1.7990826448 0.360113386
## 620 17.36614 35.82672 -1.8939132346 0.048201487
## 621 21.81492 39.73741 -1.6625911037 0.234095545
## 622 19.79015 38.89737 -1.9527307677 0.332478225
## 623 17.08102 42.63142 -2.1119012419 0.266602106
## 624 15.17551 38.73403 -2.2410896622 0.388134488
## 625 17.96567 40.08711 -2.3266243438 0.358032580
## 626 19.95286 39.75299 -2.0482624084 0.341357061
## 627 18.49135 47.74971 -2.2968528420 0.168734952
## 628 18.12879 44.39149 -2.4060758308 0.257328518
## 629 20.10142 63.88820 -2.4620818007 0.253992340
## 630 19.33493 77.06531 -3.6883189415 0.025274590
## 631 19.95625 70.64229 -3.5054938018 0.142728341
## 632 18.12343 73.38102 -3.4343485774 0.088217149
## 633 17.97502 67.27123 -4.3616777062 0.190254285
## 634 21.30563 61.19932 -3.1903522727 0.360603744
## 635 22.40850 64.12443 -4.1071040736 0.293103689
## 636 23.28450 73.69890 -3.4848088225 0.098163670
## 637 17.61616 63.32253 -2.3572105664 0.251642182
## 638 15.68185 53.07623 -3.1786644279 0.402617811
## 639 21.19593 45.65307 -4.4186221444 0.447916816
## 640 22.11739 43.18557 -2.0992439004 0.517001673
## 641 19.69962 79.08825 -5.4480810316 0.018314851
## 642 20.59596 81.54558 -4.6932077378 0.026736155
## 643 20.84398 40.96055 -1.5896682796 0.532164454
## 644 23.28659 47.77738 -4.7889660561 0.471432532
## 645 18.80506 50.95290 -1.0276796468 0.395387724
## 646 16.22547 72.74616 -5.3826296618 0.145131233
## 647 17.88452 50.64515 -0.4944302398 0.342459536
## 648 18.85796 46.63712 -2.4258326333 0.476686825
## 649 18.69708 83.02466 -4.8369331803 -0.000807675
## 650 23.81329 44.07995 -2.1354827155 0.505204729
## 651 18.86454 46.61173 -4.6444071620 0.455679151
## 652 18.76231 52.79241 -3.0439162624 0.394821045
## 653 17.67436 47.17745 -4.8490601171 0.506036435
## 654 20.04693 64.94468 -4.1194487728 0.141198607
## 655 17.13559 61.82627 -3.7572826943 0.202501768
## 656 17.66719 57.71708 -3.7494002962 0.272007684
## 657 26.20285 23.40027 -1.4563809268 0.674327642
## 658 18.89105 63.39648 -4.0216147951 0.174120665
## 659 26.02346 17.68028 -1.0305278976 0.733167210
## 660 20.53512 65.79398 -4.1439945285 0.131046186
## 661 16.17724 63.91096 -3.8520407403 0.165906028
## 662 28.83388 36.76161 -2.5421538675 0.516345932
## 663 19.41529 31.73512 -2.6668219904 0.511479946
## 664 18.96614 46.87194 -3.2129096175 0.395834103
## 665 20.13631 34.15556 -2.6394184612 0.505017371
## 666 23.03319 31.07728 -2.4441748733 0.538289694
## 667 21.04389 36.29434 -2.8921968631 0.473679017
## 668 23.09978 32.88117 -2.7535716715 0.500611704
## 669 35.28286 73.31548 -3.4223749562 0.045118843
## 670 14.80870 35.28018 -2.8038930861 0.542867965
## 671 14.22739 61.39595 0.1014485887 0.109199586
## 672 21.87592 59.76272 -3.5387721588 0.213479390
## 673 21.76959 77.18578 -4.9560226364 0.094117405
## 674 18.96359 50.70490 -3.0874361082 0.320161595
## 675 18.16669 44.33670 -2.9330857811 0.409118132
## 676 18.56411 71.34097 0.1474283246 -0.130587366
## 677 17.15518 45.11655 -2.8131738543 0.391922820
## 678 31.44116 76.52362 -4.8316799206 0.090554623
## 679 19.64305 64.62998 -0.1724486255 0.033142398
## 680 26.85317 41.55700 -3.9895873379 0.495616754
## 681 18.43004 78.63773 -4.7600312770 0.069097901
## 682 20.26066 49.54486 -3.0198490420 0.336135732
## 683 16.18912 77.12402 0.3325301221 -0.254917134
## 684 14.60573 34.90239 -2.8096818908 0.550710638
## 685 20.28296 85.01866 -5.1353833686 -0.072432847
## 686 21.94619 82.98008 -4.7862397434 -0.015903016
## 687 17.65764 52.94969 -2.7164964124 0.206057867
## 688 19.99767 43.79483 -1.4915090789 0.256709806
## 689 19.62570 51.51316 -2.7679668805 0.258681805
## 690 22.69570 59.31875 -3.4576294599 0.358769567
## 691 27.28535 53.38532 -2.5720748216 0.165813959
## 692 17.75133 44.00327 -2.3823805006 -0.048119310
## 693 22.39972 42.41687 -2.2140759067 0.028746243
## 694 15.81555 23.00543 -0.7736433546 0.308089499
## 695 16.99005 21.08617 -0.5426857812 0.277389277
## 696 17.00729 42.97682 -1.6550929574 0.220979760
## 697 19.42303 50.27024 -2.4663322534 0.127526047
## 698 14.97452 47.47154 -2.0163514491 0.165944433
## 699 17.06941 51.21021 -2.3840352678 0.092017003
## 700 16.34837 42.53470 -2.3920617474 0.305360594
## 701 17.85048 42.89961 -2.4072699383 0.296328725
## 702 19.42913 51.02158 -2.4403533281 0.133546781
## 703 20.94832 52.31443 -2.4438737320 0.096813498
## 704 17.43505 49.59267 -2.2465308254 0.128565616
## 705 23.11293 61.59695 -2.7753728543 0.324509304
## 706 22.34809 64.96775 -3.5537617996 0.228191498
## 707 20.75877 66.71874 -3.1560814068 0.217923393
## 708 19.86245 57.81625 -2.4495944540 0.381442467
## 709 20.81328 64.95883 -2.8837599822 0.245140489
## 710 15.92377 60.15197 -2.1244627657 0.304686647
## 711 20.37976 61.14019 -2.3789862556 0.308641592
## 712 17.84526 58.54856 -2.7407916700 0.373524504
## 713 27.66785 58.39350 -3.6157633193 0.323510115
## 714 16.01491 14.79161 -0.6563969669 0.722650048
## 715 27.68872 16.25925 -0.9588246252 0.757197450
## 716 22.66934 54.29824 -3.5833956358 0.306888989
## 717 27.44441 27.66304 -1.7843877214 0.627509317
## 718 18.31863 61.18115 -3.7834251392 0.211924276
## 719 24.12921 15.95352 -0.9455670444 0.755846260
## 720 17.41831 54.35372 -3.5592913309 0.323140940
## 721 25.61465 45.91247 -3.0258271273 0.399929891
## 722 16.30908 22.70535 -1.7334420081 0.714587215
## 723 19.52266 21.02932 -1.6956863173 0.758310623
## 724 20.08659 19.49686 -1.5214453632 0.773467058
## 725 21.25304 40.11539 -2.1650082966 0.169177719
## 726 24.04634 19.38159 -1.6841189487 0.766523151
## 727 22.22676 19.28537 -1.6997459186 0.781446569
## 728 16.78128 41.03885 -2.2991173711 0.335912442
## 729 17.27878 40.81541 -2.0236391750 0.310415744
## 730 16.15150 28.62946 -2.8783170861 0.882866804
## 731 17.82538 40.91332 -3.5303201768 0.677459981
## 732 22.44276 38.27024 -3.3893595487 0.769536736
## 733 18.69823 52.34684 -1.6694224912 0.035147891
## 734 20.72306 46.10175 -2.3271896917 0.009913865
## 735 20.92407 44.80774 -2.2243989545 0.021450238
## 736 17.31309 48.58024 -1.6521522870 0.173626648
## 737 16.18733 52.45362 -1.8486532430 0.112304920
## 738 15.44582 50.51435 -1.4292778223 0.084022632
## 739 16.98309 55.48411 -1.7638497080 0.010263244
## 740 14.82228 40.53266 -0.9495597858 0.153288147
## 741 21.00231 34.20075 -4.0316811408 0.640203169
## 742 18.96892 36.52396 -3.8347533745 0.545221539
## 743 17.16121 84.87585 -5.1256120965 -0.049676894
## 744 17.29440 39.78479 -4.4486776594 0.567644212
## 745 25.14188 61.90236 -1.4734054799 0.142968622
## 746 23.50914 75.22481 -0.9676764221 -0.176387682
## 747 23.44060 80.69875 -4.5643184064 -0.043581426
## 748 22.97826 63.84316 -5.3079714982 0.256476518
## X.Intercept._se OA.Census.Unemployed_se OA.Census.White_British_se
## 0 7.811437 0.5271556 0.15878243
## 1 8.393207 0.5779974 0.16903589
## 2 7.639578 0.5867185 0.16487270
## 3 12.139539 1.0151300 0.18865543
## 4 12.998497 0.8587648 0.20055809
## 5 6.345499 0.5550159 0.15629707
## 6 9.534746 0.7006511 0.14442708
## 7 10.512553 0.7503597 0.15695824
## 8 10.978764 0.6811887 0.17007142
## 9 10.158127 0.6724898 0.15606655
## 10 7.272045 0.6847282 0.18373787
## 11 10.883762 0.8101506 0.16470048
## 12 7.487874 0.6432888 0.18330680
## 13 6.088492 0.4325799 0.14160303
## 14 9.491180 0.7441584 0.16188868
## 15 9.981601 0.6822711 0.21177753
## 16 7.937277 0.5940619 0.13230817
## 17 4.944919 0.3978326 0.08645880
## 18 6.921157 0.5189716 0.15917098
## 19 7.562541 0.5392672 0.17740161
## 20 6.972713 0.4936065 0.16513244
## 21 7.123187 0.5126334 0.14395864
## 22 7.388074 0.5044737 0.18094438
## 23 4.724556 0.4096603 0.10843697
## 24 11.090576 0.7794776 0.17615689
## 25 11.087585 0.9997354 0.19369098
## 26 9.292061 0.7996065 0.15488141
## 27 9.145687 0.5609061 0.14561794
## 28 9.543479 0.6438761 0.14968228
## 29 11.805990 0.9513717 0.18406024
## 30 7.552938 0.5699280 0.15699049
## 31 10.010525 0.6148179 0.15826130
## 32 9.819646 0.6483436 0.15068848
## 33 7.602349 0.6042852 0.16857083
## 34 7.519302 0.6370787 0.14205502
## 35 7.905591 0.6183403 0.14228254
## 36 12.672740 0.7649126 0.24940801
## 37 7.693377 0.6098365 0.13958883
## 38 11.578905 0.7091817 0.23815636
## 39 7.786889 0.5650208 0.16441788
## 40 14.261769 0.9613824 0.26778095
## 41 7.227731 0.5766407 0.15514134
## 42 8.799266 0.7864511 0.14875120
## 43 11.356298 0.7422869 0.21962325
## 44 9.065707 0.6493193 0.17896933
## 45 9.267153 0.5695036 0.14488949
## 46 9.464400 0.5978086 0.14623972
## 47 14.142633 0.8796113 0.27114077
## 48 12.699169 0.8113560 0.24801503
## 49 13.974943 0.8578089 0.26771133
## 50 7.367004 0.6650439 0.15025458
## 51 10.935728 0.8145361 0.16374323
## 52 7.913742 0.6195185 0.12590443
## 53 9.236975 1.0072760 0.16273365
## 54 6.653359 0.6779394 0.12097321
## 55 6.719732 0.6589049 0.11958279
## 56 14.619575 1.0824447 0.24390991
## 57 11.556582 0.8602211 0.18795225
## 58 14.562298 1.0901885 0.23828881
## 59 9.239015 0.6891337 0.17141081
## 60 9.794853 0.6840393 0.17746071
## 61 9.052415 0.7153639 0.15832463
## 62 11.250309 0.9372073 0.19721464
## 63 15.263847 1.0380073 0.21249018
## 64 23.335407 1.0931591 0.32085431
## 65 17.114015 1.2049940 0.24109067
## 66 9.106892 0.5814230 0.12898426
## 67 10.781125 0.7668588 0.15793774
## 68 10.238903 0.6209529 0.15983433
## 69 10.138980 0.6405144 0.16087610
## 70 10.146699 0.6697550 0.15694275
## 71 10.343652 0.7297569 0.15395671
## 72 10.362619 0.6455381 0.19314990
## 73 9.209369 0.8735864 0.21468752
## 74 10.821862 0.7668349 0.18234968
## 75 11.281045 0.7968686 0.19032113
## 76 8.696585 0.6629884 0.15956331
## 77 7.682208 0.5993598 0.14540528
## 78 10.475347 0.7810674 0.18429529
## 79 9.791888 0.6921582 0.14559840
## 80 11.844409 0.9034307 0.17763893
## 81 10.195052 0.7614606 0.15046442
## 82 12.062091 0.8142971 0.17917289
## 83 10.408393 0.7542408 0.15603320
## 84 13.261129 0.9626971 0.19013356
## 85 18.805473 1.0484108 0.25670641
## 86 11.461699 0.7910868 0.16384354
## 87 18.250920 0.9283264 0.25496050
## 88 15.415875 1.1683689 0.21694259
## 89 15.423215 0.8324216 0.21121688
## 90 19.986980 1.2273467 0.27225179
## 91 13.164076 1.0379200 0.18850149
## 92 9.490594 0.6768545 0.19022372
## 93 5.451592 0.4781750 0.10149190
## 94 9.649086 0.7232122 0.23645931
## 95 15.618882 0.9826859 0.30039064
## 96 4.965028 0.4241338 0.11466478
## 97 14.521395 0.8944725 0.27594248
## 98 9.491479 0.6609096 0.16298033
## 99 8.812235 0.5947037 0.15661432
## 100 11.758454 0.7424956 0.22476075
## 101 9.599242 0.6647630 0.19209346
## 102 8.957357 0.6781824 0.16734883
## 103 7.829183 0.6940782 0.15923801
## 104 9.557123 0.6798186 0.14241896
## 105 5.993771 0.5627695 0.11231561
## 106 7.260586 0.7966580 0.13242511
## 107 9.598785 0.7765046 0.17933692
## 108 7.890981 0.6609013 0.14662547
## 109 8.204197 0.6805532 0.16195018
## 110 12.679882 1.1914722 0.19914040
## 111 7.840065 0.6912995 0.13350360
## 112 10.757202 0.9076034 0.17151091
## 113 9.034032 0.7067854 0.14934790
## 114 10.971236 0.8813198 0.17609198
## 115 11.624644 0.8547019 0.16679639
## 116 9.210477 0.6151875 0.14356761
## 117 8.849727 0.6102508 0.14158780
## 118 11.537423 0.8645449 0.17425494
## 119 8.302161 0.5696359 0.17119536
## 120 7.891761 0.5631782 0.16858765
## 121 12.192618 0.7901423 0.16594852
## 122 6.842985 0.6848392 0.11762549
## 123 8.626331 0.8600551 0.14633411
## 124 12.262402 0.7764964 0.16773360
## 125 12.565420 1.3160079 0.20848622
## 126 17.913058 1.1024017 0.24274328
## 127 5.652812 0.4182654 0.12103404
## 128 7.186962 0.5945590 0.13131312
## 129 8.861152 0.8174685 0.16860807
## 130 7.383699 0.6287328 0.13378685
## 131 7.613788 0.6300829 0.16851858
## 132 10.775658 0.7479675 0.19821918
## 133 6.336701 0.5018499 0.16048754
## 134 7.590387 0.5605893 0.16709166
## 135 6.840795 0.6122917 0.13244184
## 136 11.894991 1.0126722 0.18692904
## 137 7.648805 0.6527134 0.13275255
## 138 11.728314 0.7702885 0.16704608
## 139 12.223321 1.0190045 0.19816591
## 140 8.992403 0.6230490 0.14843205
## 141 18.224034 1.1239932 0.25099522
## 142 15.297271 0.9968591 0.20368390
## 143 14.277238 0.9738160 0.19635958
## 144 17.591385 1.1250879 0.24035084
## 145 13.983858 1.0060042 0.23747034
## 146 10.010817 0.7158002 0.19023290
## 147 14.721560 1.0922288 0.25008845
## 148 8.660856 0.6572546 0.16042702
## 149 12.918362 0.8471909 0.22785993
## 150 6.216250 0.4756192 0.14182881
## 151 9.472020 0.7058945 0.17311194
## 152 12.841184 1.3323727 0.21456010
## 153 3.385390 0.2703039 0.05739235
## 154 15.018856 0.9582804 0.20073203
## 155 6.134976 0.5054018 0.10188822
## 156 6.801091 0.4820184 0.14253819
## 157 7.099674 0.4955551 0.14378374
## 158 5.645905 0.4435349 0.13418966
## 159 6.722842 0.6110271 0.13843010
## 160 8.219330 0.7350241 0.19735872
## 161 6.596773 0.6082370 0.13058902
## 162 6.873698 0.5987931 0.13683022
## 163 8.583806 0.7866029 0.19340745
## 164 7.106847 0.5654891 0.17386585
## 165 6.550123 0.5258994 0.16405919
## 166 8.329586 0.5703682 0.20872186
## 167 9.657043 0.6357220 0.17238805
## 168 11.563009 0.9006492 0.18835706
## 169 11.237778 0.7894754 0.17978764
## 170 9.810588 0.6625815 0.18193543
## 171 12.731922 0.8007792 0.24614075
## 172 8.261089 0.6522528 0.14878790
## 173 10.412148 0.8896422 0.18037401
## 174 11.147461 1.1261050 0.18973130
## 175 10.142518 0.8961131 0.17465561
## 176 10.496201 0.9022743 0.18157848
## 177 9.020884 0.7794775 0.15764253
## 178 9.664341 0.9290003 0.16566968
## 179 13.158798 0.9435080 0.21490534
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## 603 5.325961 0.3863442 0.08166924
## 604 5.735214 0.4253637 0.12583597
## 605 7.046781 0.5143361 0.14215090
## 606 7.157339 0.5122204 0.14403078
## 607 8.693006 0.6468854 0.14579644
## 608 8.941627 0.6819283 0.15599902
## 609 6.034540 0.4390316 0.13710531
## 610 6.177776 0.4699705 0.13739678
## 611 10.956360 0.7516626 0.15686092
## 612 8.716077 0.8220873 0.17753753
## 613 8.407559 0.7864263 0.16305852
## 614 8.987438 0.8300489 0.19840565
## 615 8.152840 0.7178660 0.17142478
## 616 8.586574 0.7696845 0.17215599
## 617 6.617854 0.5379167 0.11782653
## 618 7.841257 0.6981661 0.17052118
## 619 7.060318 0.6227945 0.13234773
## 620 8.957940 0.8489057 0.18993801
## 621 5.517171 0.4559953 0.13468250
## 622 6.386194 0.5057183 0.16035652
## 623 8.599781 0.6121194 0.20292501
## 624 8.452662 0.5839383 0.21230693
## 625 8.007994 0.5226338 0.20037970
## 626 7.377002 0.5248606 0.16686635
## 627 8.014567 0.5884788 0.18175610
## 628 7.862029 0.5111954 0.19640171
## 629 8.965353 0.8711902 0.18666404
## 630 7.651815 0.7492382 0.14397804
## 631 8.738640 0.6135963 0.15727104
## 632 8.572252 0.6888742 0.15448031
## 633 8.018597 0.6831373 0.15598765
## 634 8.152697 0.6922854 0.16102204
## 635 7.776883 0.6303916 0.14948134
## 636 7.171832 0.7047136 0.13960136
## 637 10.056746 0.9072012 0.19043577
## 638 12.082569 1.0523604 0.18809668
## 639 11.708107 0.7889357 0.16332462
## 640 11.373821 0.8793642 0.18264073
## 641 7.572076 0.6459381 0.12998469
## 642 7.373851 0.7262633 0.12844304
## 643 11.646689 0.9409690 0.18407926
## 644 10.450234 0.7083345 0.14936154
## 645 12.788734 1.0394975 0.22017009
## 646 8.721317 0.7302433 0.14696280
## 647 12.873217 1.1337356 0.21745933
## 648 11.812277 0.9831391 0.18282827
## 649 7.623446 0.7416875 0.13482429
## 650 10.844791 0.8699295 0.17174266
## 651 12.734002 0.8529789 0.17770378
## 652 11.689751 0.9828364 0.18055801
## 653 10.920194 0.7587071 0.16560026
## 654 9.822833 0.6837065 0.15742215
## 655 10.976566 0.8270442 0.17677441
## 656 11.607010 0.7785808 0.18097756
## 657 8.238527 0.5770570 0.13393313
## 658 11.185456 0.7439743 0.17464059
## 659 8.587413 0.6077557 0.13995211
## 660 10.131395 0.6853524 0.16114520
## 661 11.490365 0.8422379 0.18320947
## 662 8.088812 0.5244541 0.13037010
## 663 11.719405 0.8101103 0.17726565
## 664 15.921793 1.0546131 0.21863566
## 665 11.774866 0.7990912 0.17279522
## 666 10.690290 0.7412853 0.16087880
## 667 10.799028 0.7367994 0.15800284
## 668 10.263206 0.7059304 0.15351031
## 669 5.337509 0.4637096 0.09205487
## 670 22.517890 1.0971013 0.30751981
## 671 14.591330 1.5322757 0.24618231
## 672 10.528305 0.6548145 0.15010162
## 673 7.229582 0.6167493 0.11769824
## 674 15.987629 0.8369450 0.22436416
## 675 18.579354 0.9386267 0.25707474
## 676 12.821252 1.3577528 0.21358788
## 677 22.165346 1.0492024 0.30527700
## 678 6.163643 0.4983166 0.10113335
## 679 11.931856 1.2474411 0.19808712
## 680 10.883604 0.7371926 0.14825425
## 681 7.707158 0.7066900 0.12952739
## 682 16.494726 0.8590214 0.22921659
## 683 14.099819 1.4844158 0.23745021
## 684 23.397191 1.1224379 0.31987857
## 685 7.582675 0.6501980 0.13785583
## 686 7.347411 0.6663031 0.13347558
## 687 9.310545 0.6711055 0.18126802
## 688 6.495960 0.4557732 0.15167089
## 689 8.698227 0.6088863 0.16793976
## 690 7.403325 0.5824033 0.16227821
## 691 5.835861 0.4177865 0.12140391
## 692 8.197575 0.6866319 0.19821073
## 693 6.121822 0.4929060 0.15416311
## 694 9.643158 0.7957697 0.17358267
## 695 8.609282 0.7243803 0.16434709
## 696 6.853905 0.5212209 0.16863143
## 697 7.498387 0.5199616 0.17482946
## 698 8.589439 0.5643812 0.21042648
## 699 8.274670 0.6281416 0.18326142
## 700 8.294978 0.5441934 0.20769353
## 701 7.863788 0.5123691 0.19774333
## 702 7.574293 0.5759683 0.15647105
## 703 6.682108 0.4642673 0.15265940
## 704 7.511513 0.5217218 0.18137339
## 705 8.091101 0.6905273 0.16022947
## 706 8.286992 0.5929003 0.14638925
## 707 9.224481 0.6425089 0.16589610
## 708 10.221095 0.7434233 0.19226219
## 709 9.282885 0.6975761 0.16766052
## 710 11.573429 0.9336085 0.21472957
## 711 9.381903 0.8095327 0.18439279
## 712 11.349378 0.6976327 0.20487472
## 713 7.852473 0.5475827 0.13466417
## 714 11.338417 0.7741252 0.20112433
## 715 8.202860 0.5948979 0.13525542
## 716 10.062918 0.6588039 0.16108675
## 717 7.607085 0.5435548 0.12707922
## 718 10.914432 0.7880653 0.17501210
## 719 8.914607 0.6339614 0.15006374
## 720 10.904784 0.7801689 0.17484462
## 721 8.677451 0.5759138 0.14064387
## 722 10.698602 0.7557508 0.18185757
## 723 9.304351 0.6747676 0.14975259
## 724 9.066661 0.6538570 0.14489983
## 725 6.188486 0.5001530 0.15249820
## 726 8.196889 0.6153719 0.13534421
## 727 7.993455 0.6048027 0.13121839
## 728 8.196370 0.5513249 0.20449385
## 729 8.192745 0.5935134 0.18508485
## 730 15.021112 0.9254333 0.29005186
## 731 14.559581 0.9301962 0.27351112
## 732 9.496525 0.6397290 0.19158635
## 733 6.757323 0.5092807 0.15615100
## 734 6.472981 0.5538521 0.16018702
## 735 6.418259 0.5407234 0.15783395
## 736 7.088043 0.4854525 0.16477272
## 737 7.131958 0.5003044 0.16618316
## 738 7.347099 0.5047905 0.17091180
## 739 6.859695 0.5087420 0.15946635
## 740 7.328231 0.7164342 0.18597653
## 741 10.106932 0.6946672 0.14996976
## 742 11.910546 0.8736965 0.16660969
## 743 7.845361 0.7124113 0.14216450
## 744 13.321735 0.8785794 0.18727558
## 745 9.467731 0.7234114 0.16581763
## 746 9.262397 0.8753216 0.16162946
## 747 6.906437 0.5310250 0.12601938
## 748 7.496170 0.5892293 0.12272032
## gwr.e pred pred.se localR2 X.Intercept._se_EDF
## 0 -8.03622111 43.844081 2.779828 0.4334753 8.049854
## 1 -1.27542794 43.686142 1.861825 0.4567683 8.649380
## 2 2.99203315 53.484651 2.012805 0.3318631 7.872749
## 3 11.89345438 55.963688 3.961656 0.7487482 12.510056
## 4 -8.15926760 39.905299 4.066037 0.6106522 13.395231
## 5 10.01891248 47.184477 1.722466 0.3033642 6.539173
## 6 4.18602764 60.359427 2.557139 0.7209294 9.825760
## 7 -36.78242383 53.146060 2.797994 0.5366716 10.833412
## 8 -11.16961115 40.916447 1.738796 0.7547003 11.313852
## 9 6.24766583 21.252334 2.978003 0.6985432 10.468168
## 10 -19.29659618 46.125864 2.850751 0.2273108 7.493998
## 11 13.01592793 44.904864 2.158607 0.5529955 11.215950
## 12 -16.33061375 34.122025 2.840055 0.3776215 7.716415
## 13 11.77425030 51.202849 1.871799 0.3832020 6.274321
## 14 19.74976985 34.464353 1.983235 0.4557130 9.780865
## 15 -8.19946202 65.496759 1.918349 0.5158754 10.286254
## 16 10.73213894 54.414441 2.012159 0.6298957 8.179534
## 17 -13.87697590 60.605948 1.537168 0.6228556 5.095845
## 18 8.19314029 49.471093 3.602733 0.3660798 7.132401
## 19 16.97636694 48.777058 2.438848 0.3701671 7.793361
## 20 11.08013126 43.724139 1.987253 0.2377546 7.185530
## 21 -4.61885004 58.812398 3.141093 0.4049509 7.340597
## 22 -2.26759917 30.136452 2.397414 0.4352126 7.613569
## 23 10.47588832 52.153869 1.716202 0.3879546 4.868756
## 24 -1.20496290 71.936670 2.854134 0.5277232 11.429076
## 25 -7.12046529 65.482240 3.441530 0.3315171 11.425994
## 26 -1.29948672 61.184874 1.487134 0.4848112 9.575668
## 27 -3.32911651 43.613477 2.703589 0.6371160 9.424827
## 28 -3.98953228 48.880043 2.200037 0.6496364 9.834760
## 29 -3.40824013 53.591390 3.353134 0.7373613 12.166326
## 30 -1.41945074 51.791659 2.270968 0.3503431 7.783464
## 31 9.51934369 57.147323 1.734770 0.6776533 10.316061
## 32 13.74280790 41.725942 1.522475 0.6197736 10.119356
## 33 -17.13941856 52.880863 2.128722 0.5719371 7.834384
## 34 4.72100155 23.663278 2.172740 0.5111626 7.748803
## 35 9.96964706 49.554162 2.525934 0.6359596 8.146882
## 36 -0.56161179 66.426996 2.050994 0.6172361 13.059530
## 37 4.10450889 39.761662 1.694048 0.5631726 7.928190
## 38 -9.90461681 64.316382 4.204933 0.5755800 11.932310
## 39 -8.59161139 49.870681 2.271296 0.7829826 8.024556
## 40 7.81055847 43.578330 2.751669 0.6545465 14.697059
## 41 15.73874791 52.564824 2.594091 0.6187794 7.448332
## 42 -6.77984118 61.881882 2.185961 0.1957995 9.067833
## 43 15.45849968 58.889326 3.133689 0.6013050 11.702909
## 44 -0.97300176 45.417446 1.876891 0.4571665 9.342406
## 45 4.29135389 34.432050 1.672880 0.6926321 9.550000
## 46 21.44276971 47.001675 2.234997 0.6486976 9.753267
## 47 -4.28459409 33.611517 2.291209 0.8294606 14.574287
## 48 -1.12891624 29.091002 2.938439 0.8330417 13.086766
## 49 -10.72708385 37.393751 2.144012 0.8279602 14.401479
## 50 13.89483141 52.302352 1.952543 0.7361956 7.591855
## 51 -8.23829628 48.093369 1.577952 0.5746660 11.269502
## 52 -8.57205088 35.894455 4.618882 0.7652251 8.155281
## 53 1.87832636 68.241196 1.621871 0.2787227 9.518901
## 54 -0.85766721 73.708346 2.558272 0.4964196 6.856430
## 55 8.24773160 67.276744 1.395688 0.6087287 6.924828
## 56 7.84645018 68.783985 2.719140 0.6270982 15.065786
## 57 -2.67449036 65.174490 2.472187 0.6973610 11.909306
## 58 3.17962840 66.138553 1.894122 0.6535876 15.006760
## 59 -19.49985126 59.995719 1.418766 0.5702537 9.521004
## 60 0.27599938 66.700745 1.737185 0.6118790 10.093806
## 61 5.98006831 65.269932 2.098928 0.2927019 9.328709
## 62 -13.13686388 62.025753 1.947210 0.3251570 11.593685
## 63 7.07901260 56.557351 1.861919 0.4306268 15.729722
## 64 8.56590497 55.809095 1.966628 0.7505327 24.047638
## 65 0.73991167 58.371199 4.930440 0.3383703 17.636360
## 66 -7.31844678 65.010754 1.882614 0.6978824 9.384847
## 67 1.43331759 28.249680 2.147011 0.5091244 11.110181
## 68 -6.82750914 37.169389 2.900662 0.7239709 10.551409
## 69 -4.51110877 56.801185 1.744302 0.7544043 10.448436
## 70 -13.94475198 42.471398 1.783989 0.6601212 10.456391
## 71 6.33359633 39.750741 3.315562 0.5685895 10.659356
## 72 -0.29361071 72.119008 2.013552 0.6866003 10.678902
## 73 -3.40978200 29.355728 2.855627 0.4762065 9.490453
## 74 -5.65233202 59.368548 1.675590 0.6786285 11.152161
## 75 5.44519712 42.888136 2.306924 0.6286520 11.625360
## 76 6.86067401 64.684041 1.568269 0.3827567 8.962017
## 77 -8.82891595 66.741374 1.509711 0.4397786 7.916680
## 78 0.71189200 60.002394 2.240388 0.4038077 10.795070
## 79 3.38597624 43.622571 2.612981 0.6497201 10.090751
## 80 -1.91453893 57.968351 3.367423 0.5109703 12.205918
## 81 4.86059267 55.539407 2.986728 0.5906993 10.506220
## 82 6.36872811 59.789808 2.660425 0.6624217 12.430243
## 83 -3.82922569 45.737939 2.685921 0.6466175 10.726072
## 84 -17.41995354 62.401366 2.357612 0.5058354 13.665879
## 85 -0.26502265 67.637904 2.748417 0.6409464 19.379444
## 86 12.15445970 47.137576 2.399006 0.5361730 11.811527
## 87 -3.15075254 56.065551 1.790717 0.7272321 18.807965
## 88 -0.38824857 49.634480 2.270934 0.5207602 15.886391
## 89 17.26918408 48.367882 2.157538 0.6730007 15.893955
## 90 1.77449693 38.021421 4.936284 0.5942634 20.597012
## 91 8.09444609 61.723736 2.383865 0.6584839 13.565863
## 92 0.81484219 62.244859 1.707933 0.7821784 9.780261
## 93 -13.60558171 64.012086 1.465257 0.6587380 5.617983
## 94 -3.96561040 26.642190 2.321331 0.2688250 9.943590
## 95 3.71562788 63.652793 3.561104 0.5546761 16.095594
## 96 13.40168266 31.910817 1.557880 0.4842379 5.116568
## 97 13.03468127 51.913772 2.146768 0.5923617 14.964609
## 98 9.33430292 66.752654 2.236099 0.7422887 9.781173
## 99 -7.37602397 72.668120 1.882683 0.7472907 9.081197
## 100 12.18174735 68.220263 2.180741 0.7382932 12.117339
## 101 13.49178486 57.488607 1.857586 0.7058826 9.892225
## 102 16.06671844 60.572626 1.692184 0.3697204 9.230749
## 103 7.33898506 72.072780 2.577656 0.4908916 8.068142
## 104 -10.00719150 53.123134 1.612506 0.6423103 9.848821
## 105 -1.00521580 69.155901 1.323735 0.5696794 6.176710
## 106 5.24103565 68.636515 1.907646 0.3043136 7.482190
## 107 -4.87656289 32.833552 2.065852 0.4338590 9.891754
## 108 -5.49795015 25.402027 2.490916 0.4949120 8.131825
## 109 13.31998118 59.506106 1.714055 0.6922347 8.454601
## 110 -3.87698313 50.517299 2.486926 0.7341024 13.066890
## 111 1.92992960 62.550945 2.336427 0.6604156 8.079355
## 112 3.19892951 66.212835 2.841074 0.7003461 11.085528
## 113 5.59662089 61.785353 3.187952 0.7020309 9.309764
## 114 -1.07623383 47.283130 4.554362 0.6979269 11.306094
## 115 0.03281464 29.315011 2.216408 0.5974298 11.979445
## 116 9.47240182 32.650886 3.670381 0.7083304 9.491594
## 117 1.46246600 25.680391 3.013323 0.7335436 9.119833
## 118 6.09689326 52.330073 1.718569 0.5915336 11.889562
## 119 -16.98436490 54.484365 2.845222 0.4005863 8.555556
## 120 -10.27873209 47.330525 1.810900 0.3565647 8.132629
## 121 3.91694690 53.775361 2.216155 0.6928910 12.564755
## 122 3.56500292 68.003625 2.374728 0.3280987 7.051843
## 123 -7.97548998 63.531046 2.091928 0.2217022 8.889619
## 124 6.87675542 53.292736 1.837606 0.7027403 12.636669
## 125 -14.04929719 65.936090 3.798115 0.2327855 12.948935
## 126 -26.38961444 47.335560 2.222027 0.5741884 18.459791
## 127 19.02657099 56.603681 1.917278 0.4547647 5.825344
## 128 -12.42974778 45.911891 2.805159 0.6599056 7.406318
## 129 -0.90447473 22.809237 3.115620 0.4850025 9.131608
## 130 9.16735895 78.906036 5.602275 0.6656964 7.609060
## 131 -1.26023415 51.935910 2.760418 0.6923114 7.846172
## 132 14.26325760 46.139427 1.929196 0.5507328 11.104547
## 133 -3.73286690 41.232867 1.827565 0.4299516 6.530106
## 134 6.45026711 33.549733 2.499943 0.3868036 7.822057
## 135 -1.29747649 62.073339 1.797156 0.7386613 7.049586
## 136 1.99661887 53.960060 1.884128 0.7240665 12.258044
## 137 -5.68018051 67.218642 1.948907 0.6696232 7.882258
## 138 2.73742427 45.033276 1.920130 0.7711406 12.086279
## 139 4.74823472 64.894622 1.593130 0.5001378 12.596394
## 140 -28.91534675 63.201061 2.398717 0.6080086 9.266865
## 141 1.00051525 44.488207 3.004336 0.5122645 18.780259
## 142 -16.12500603 58.473760 1.919865 0.5659419 15.764166
## 143 3.43564320 55.062381 2.956162 0.5164673 14.713001
## 144 0.46284802 60.428241 2.036010 0.5591836 18.128300
## 145 0.78680241 73.987972 3.020535 0.6367684 14.410665
## 146 -2.09894916 51.215557 2.630539 0.5159848 10.316362
## 147 -2.38649274 64.945734 1.839205 0.5843504 15.170884
## 148 -17.99616309 59.826228 2.005800 0.5185797 8.925198
## 149 -2.47128968 64.728099 2.872768 0.6046757 13.312649
## 150 -17.28468219 49.793516 2.474691 0.3992380 6.405979
## 151 -3.03807285 62.145880 1.909363 0.4311872 9.761120
## 152 4.00653503 65.179511 1.904734 0.2128361 13.233116
## 153 -7.55750440 71.264068 1.346217 0.6996511 3.488717
## 154 12.84104454 28.134565 3.456180 0.6305512 15.477254
## 155 14.09736753 62.679884 1.260105 0.6841627 6.322225
## 156 23.29692270 46.024611 3.030031 0.3972302 7.008671
## 157 27.89486316 39.157160 2.338014 0.4131478 7.316366
## 158 0.26764905 46.847736 1.924130 0.3728383 5.818226
## 159 -2.98736807 29.395819 4.083007 0.7159996 6.928033
## 160 -1.12167179 28.215268 4.188006 0.4603281 8.470196
## 161 -4.07695389 17.600086 3.350920 0.5008739 6.798117
## 162 -8.28671784 24.800479 2.333734 0.4420278 7.083493
## 163 -3.78840638 33.227659 3.096137 0.4905505 8.845796
## 164 -0.67303988 23.166927 3.170662 0.5192837 7.323758
## 165 -10.49193217 28.426715 1.656177 0.5119973 6.750042
## 166 8.52842675 48.811023 3.100124 0.3592995 8.583817
## 167 2.17739171 71.506819 2.460879 0.7009757 9.951790
## 168 -9.25594879 66.559320 2.413267 0.4018354 11.915929
## 169 -18.26317157 64.966468 2.221061 0.4680422 11.580772
## 170 -2.98463302 48.055056 3.665672 0.6038619 10.110021
## 171 -8.94661186 51.139303 2.440009 0.6073879 13.120519
## 172 5.63839170 65.606243 1.482685 0.3095730 8.513230
## 173 -0.13722304 61.324438 2.332300 0.2571436 10.729942
## 174 -6.76177047 61.965390 2.205923 0.1725857 11.487698
## 175 11.18905409 61.538219 1.978787 0.2196744 10.452083
## 176 -7.60167610 61.238040 2.390951 0.2952067 10.816560
## 177 2.24851317 62.728445 1.311705 0.2058307 9.296215
## 178 -3.34240180 62.704952 1.691777 0.1923888 9.959311
## 179 -11.37257640 53.630641 2.331695 0.6093961 13.560424
## 180 8.41097308 52.992536 1.904369 0.6560593 10.643151
## 181 1.64562829 46.678394 1.954425 0.6434422 12.585675
## 182 -1.82835357 64.742261 1.150387 0.6246345 8.054113
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## 463 7.75483102 61.292788 2.647754 0.5765813 20.751209
## 464 2.77098100 54.645287 1.827299 0.6047101 14.076034
## 465 0.02987673 69.428251 1.864696 0.2557201 11.090175
## 466 3.15872733 62.879009 3.349872 0.2053481 12.425070
## 467 8.56749309 61.234487 1.960898 0.6197764 7.485045
## 468 5.89927038 70.736244 2.932224 0.3644190 8.397714
## 469 3.50257127 67.010249 3.608318 0.2078758 14.527967
## 470 8.87435162 66.657563 1.769274 0.2362071 10.272752
## 471 2.80469195 67.649854 1.811796 0.2427820 10.808351
## 472 -2.64298789 37.188442 2.587358 0.7116683 7.761786
## 473 6.35235846 62.328960 2.875372 0.7599098 12.907038
## 474 -0.26825555 71.044511 2.788215 0.8246661 15.133497
## 475 4.76059504 66.978535 1.851281 0.6099228 6.735730
## 476 -5.49397483 68.964294 2.089354 0.6939075 6.307340
## 477 -19.01253484 82.854343 3.362039 0.8220153 13.200956
## 478 -11.55574122 62.456642 1.887326 0.6670751 7.166216
## 479 0.03449527 57.287680 3.054627 0.6764058 7.597128
## 480 4.79388223 33.667656 2.433037 0.3867667 6.747854
## 481 -2.74844404 65.043526 2.495012 0.5769360 15.667522
## 482 6.65950931 35.148400 2.297850 0.4445686 5.427220
## 483 -1.03183977 41.824381 2.959561 0.6038881 14.030849
## 484 6.16238823 28.365299 2.065519 0.4279098 8.985987
## 485 5.62557446 31.528576 3.675935 0.6307007 11.113198
## 486 -11.02691666 28.406596 2.966145 0.3644600 9.105725
## 487 -5.10859651 40.752161 3.558290 0.5958458 13.175382
## 488 -18.40247088 30.046306 3.566401 0.2971168 9.686441
## 489 -3.13401408 44.418418 3.311818 0.7165545 13.756211
## 490 3.92866460 33.144506 2.397781 0.4275908 8.803422
## 491 -20.28536383 41.675738 1.731905 0.7473769 10.713821
## 492 -3.30460936 26.438938 2.178354 0.3829270 6.593985
## 493 -3.47177183 61.366509 3.443074 0.5807550 15.809302
## 494 1.25725927 47.569032 4.586176 0.5848855 15.845876
## 495 5.87548903 72.760875 2.051895 0.7511366 12.375172
## 496 -11.28167172 64.102185 1.910400 0.7237822 7.826642
## 497 -4.25512815 34.487686 3.260062 0.6954373 7.463121
## 498 3.11193166 69.053017 2.012529 0.6732770 8.656757
## 499 -4.69691184 65.847991 2.119696 0.7081272 13.204108
## 500 11.99880569 53.766960 3.806285 0.6734781 7.942071
## 501 -3.30763220 63.307632 1.525309 0.6422678 7.659404
## 502 7.22415863 62.875509 2.298601 0.4482742 9.172305
## 503 -1.63629779 60.514802 2.084866 0.3878129 8.049744
## 504 -1.21839207 64.961082 1.840218 0.4838124 8.044713
## 505 0.11341189 70.404516 1.843924 0.4073009 8.970445
## 506 -9.69172040 72.605628 2.137218 0.5242308 7.449009
## 507 -0.53119415 72.803921 2.900075 0.4130418 7.766407
## 508 4.69775059 61.677795 1.800535 0.4084318 9.448045
## 509 3.24703934 57.836705 1.903406 0.5196042 8.000682
## 510 -15.39977120 46.457335 3.022611 0.6424473 9.913811
## 511 3.70355001 57.834912 2.244620 0.6876789 10.048260
## 512 7.29093335 19.279115 3.861080 0.7849112 8.950162
## 513 9.89845520 64.768211 5.095439 0.4999323 10.922419
## 514 -3.06180730 70.172918 2.563298 0.6283388 7.500577
## 515 4.31258369 40.479083 1.726478 0.4868451 10.738802
## 516 0.83224345 69.732273 2.455566 0.5664542 9.897006
## 517 4.90327924 44.422866 1.650882 0.7192458 11.528859
## 518 8.36189938 57.974734 3.061114 0.7461098 10.443864
## 519 5.46030323 64.633155 1.534005 0.3685424 6.397556
## 520 1.94705535 44.035088 3.077688 0.6368182 7.370225
## 521 7.45103678 65.709136 1.322410 0.5727531 6.472518
## 522 -26.59438727 63.631424 2.789946 0.2148607 10.366532
## 523 3.93675433 67.275367 1.335916 0.4216045 6.782689
## 524 -1.87687420 69.193947 2.259137 0.6261161 7.058895
## 525 8.98626551 71.115775 1.760315 0.3901241 6.889706
## 526 -4.27871119 31.878711 2.759351 0.5515446 8.620910
## 527 -1.10990954 30.960656 2.192633 0.3668713 10.753408
## 528 -6.23731022 26.723421 1.630319 0.5359479 7.098624
## 529 -25.02117662 43.771177 2.592766 0.3932128 11.276933
## 530 1.31876620 39.481234 1.903715 0.5142232 9.899259
## 531 -20.02924071 45.692958 2.384255 0.3972621 11.032364
## 532 -2.84275629 27.043670 1.922796 0.7333060 6.751304
## 533 -2.85043178 37.716332 2.804496 0.4015682 11.011022
## 534 -1.87654332 72.687354 2.610011 0.7493495 8.650104
## 535 2.07230574 66.795619 2.466349 0.6655080 7.298127
## 536 -8.04862121 73.705187 3.674313 0.7005832 8.279123
## 537 1.12674191 69.129668 2.450534 0.7255280 8.108959
## 538 3.49613458 62.059421 2.444056 0.7309954 9.301252
## 539 11.31978756 68.680212 2.044572 0.6542490 8.092965
## 540 9.50352523 69.821369 1.854797 0.7463000 11.203677
## 541 -9.34082736 53.150351 2.430179 0.5283950 6.914781
## 542 -19.13222023 45.917935 2.317560 0.4978951 7.565321
## 543 -12.49740130 42.702680 2.821041 0.5684670 14.967443
## 544 -1.36496712 64.864967 3.366793 0.5127754 7.234247
## 545 -3.00891704 34.658749 2.449365 0.4684279 7.231533
## 546 10.11947709 27.527582 4.724769 0.5602198 13.324227
## 547 3.83561425 55.664386 3.297870 0.5566375 8.697970
## 548 -7.88657478 34.704757 3.146090 0.6054611 12.762948
## 549 -18.33219145 54.655061 1.527776 0.6994134 10.170566
## 550 -3.05382710 28.593395 3.963427 0.7364307 9.217112
## 551 -1.68330959 65.936703 2.399360 0.5301731 17.146457
## 552 -4.56534306 70.419002 2.367682 0.5946800 13.288651
## 553 4.51105192 74.976128 3.429127 0.4984967 14.540665
## 554 -5.53719811 59.939004 2.468981 0.5093578 10.836894
## 555 -8.01983994 56.800328 1.744630 0.6721179 14.534970
## 556 3.59320613 71.487700 1.922071 0.5559823 9.415725
## 557 9.75965343 68.105959 2.184695 0.7906203 12.209364
## 558 6.23328955 69.716078 1.856542 0.7879692 13.030870
## 559 -4.05405409 68.878175 1.973695 0.5333417 15.122729
## 560 1.03270693 64.547003 3.523172 0.6445758 16.612337
## 561 0.58351602 64.871029 1.804200 0.3897875 12.768942
## 562 6.41508724 60.816551 1.818684 0.6575650 8.056815
## 563 -5.40848979 70.582619 2.686515 0.7310216 8.908978
## 564 -3.52075598 67.588553 2.071692 0.5443943 10.653420
## 565 -1.92603931 65.007435 1.910428 0.4252891 11.174987
## 566 14.48331801 52.373825 1.626070 0.7645128 11.039438
## 567 4.11531739 60.673415 3.832555 0.4200834 11.258604
## 568 -1.39387373 59.317371 2.146631 0.7437005 8.713862
## 569 -15.36991352 58.659957 1.377320 0.6794001 10.157693
## 570 -8.91577616 69.508996 2.497899 0.7594103 8.987452
## 571 5.71282694 64.721956 3.462790 0.6562128 10.768748
## 572 3.46045146 72.324302 3.095248 0.7489491 10.437964
## 573 4.93514757 65.627623 1.811467 0.4874518 11.826267
## 574 -0.39625256 73.312919 2.430377 0.6791253 8.107627
## 575 7.10732416 49.970301 1.746094 0.7779405 9.786967
## 576 -0.99923834 30.360940 2.839667 0.6843952 9.846661
## 577 -9.43972617 56.422485 2.396909 0.7381239 11.047352
## 578 -0.62176071 57.081091 2.689763 0.6883397 11.135221
## 579 -14.58049294 50.467590 1.907081 0.6996445 9.733004
## 580 -3.77999101 66.649189 2.877949 0.7425189 9.347493
## 581 9.53574241 56.959103 2.348879 0.6988895 8.995480
## 582 -0.97194668 60.443312 2.470073 0.7714871 9.832659
## 583 -17.82781352 62.033822 2.434017 0.5733486 10.331654
## 584 -17.23943971 42.514165 2.908360 0.6090440 11.656246
## 585 -12.15150783 40.068175 2.807350 0.6267080 11.832251
## 586 2.30596430 49.812680 1.857300 0.6092730 11.585338
## 587 -13.29984569 49.405322 1.254744 0.6465787 8.426250
## 588 2.18099670 47.186092 1.342216 0.6086541 8.888377
## 589 -0.64155918 53.141559 2.060825 0.6135368 10.071127
## 590 -2.21894570 52.661424 2.681466 0.5866195 21.067661
## 591 1.82624361 68.789870 1.918310 0.3145532 9.832597
## 592 4.55709894 59.999863 2.133078 0.6254609 18.386647
## 593 4.07847749 62.155289 2.776514 0.1815100 11.774136
## 594 10.04439873 66.807453 2.826526 0.2998783 9.696719
## 595 6.10584030 66.435143 2.822644 0.6184613 21.990790
## 596 -16.97031981 67.796766 1.646124 0.5001711 4.326594
## 597 -5.13323726 71.393400 3.526263 0.7569033 19.874227
## 598 3.53137700 24.737174 3.085744 0.7023374 8.231714
## 599 -5.74340295 38.801254 3.828746 0.7709419 21.888804
## 600 7.05771176 66.762031 2.491484 0.4296578 7.320747
## 601 6.45652650 47.525774 2.480742 0.6445350 9.209977
## 602 0.59708453 67.383211 2.312738 0.2689968 11.224712
## 603 1.32798003 53.693854 1.077962 0.7324358 5.488517
## 604 12.66319721 58.258789 2.059153 0.4455848 5.910261
## 605 -10.34279226 45.994966 1.554755 0.4301174 7.261859
## 606 -17.53233726 48.497729 2.155062 0.4246241 7.375791
## 607 13.24116832 47.734441 3.596007 0.6754091 8.958329
## 608 3.11105603 43.555611 1.625406 0.5947192 9.214539
## 609 15.60586805 64.394132 3.461222 0.4260412 6.218723
## 610 10.60017492 43.628681 1.545329 0.4029917 6.366331
## 611 10.17088548 31.988498 5.102835 0.5844761 11.290764
## 612 0.21339931 25.034125 2.563922 0.4592717 8.982104
## 613 -7.48114765 24.814481 2.213466 0.4950332 8.664170
## 614 4.64101472 29.328451 2.620699 0.4199248 9.261748
## 615 2.01026049 32.230985 3.277724 0.5003568 8.401676
## 616 -10.24414224 36.703286 2.767566 0.4534642 8.848648
## 617 1.32010296 37.512384 2.545089 0.6494753 6.819841
## 618 -1.87847394 32.111032 2.271541 0.4984141 8.080584
## 619 -7.93950380 24.173270 2.068658 0.5357805 7.275809
## 620 -1.78750349 27.330982 1.924654 0.4261440 9.231350
## 621 -8.50208442 42.726683 2.007493 0.4197090 5.685563
## 622 16.75572125 49.427854 2.862773 0.4131336 6.581110
## 623 9.86002034 37.353094 2.223197 0.3685497 8.862259
## 624 -9.84582209 30.637901 2.694451 0.4301227 8.710650
## 625 -8.62725039 27.446439 4.052510 0.4360864 8.252410
## 626 -4.78902026 34.566798 1.994259 0.4123932 7.602159
## 627 -4.39528705 35.863819 3.364641 0.3721834 8.259184
## 628 -13.15685844 34.461206 2.599678 0.4206161 8.101990
## 629 -2.57848634 65.025744 2.146714 0.3475548 9.238988
## 630 -14.48002829 74.832451 2.452027 0.5661838 7.885360
## 631 1.42524670 64.561148 1.695483 0.6395322 9.005356
## 632 10.38058885 63.825760 1.835868 0.5661777 8.833890
## 633 -2.14109044 69.723508 2.347939 0.7755287 8.263336
## 634 3.19540312 70.430971 1.813450 0.5459187 8.401529
## 635 2.98458676 66.918326 1.577208 0.7566697 8.014245
## 636 -0.53317898 70.611919 1.641327 0.5373317 7.390727
## 637 1.15981534 65.506851 2.069203 0.3504292 10.363693
## 638 0.30046548 54.765614 1.908561 0.7420964 12.451347
## 639 4.04576672 23.613808 2.670780 0.7249279 12.065456
## 640 -8.55728091 74.432652 3.202824 0.7045445 11.720966
## 641 7.49208733 26.869146 3.780262 0.6552052 7.803187
## 642 6.06338095 36.727317 4.754659 0.6483669 7.598912
## 643 -2.10007898 64.322301 1.693919 0.6580203 12.002163
## 644 -4.66983683 64.468832 2.760762 0.7607569 10.769191
## 645 4.46196476 66.029839 3.106747 0.4280903 13.179065
## 646 16.88787243 53.070975 2.093241 0.6786127 8.987504
## 647 -1.34035717 68.810237 2.277977 0.3913324 13.266127
## 648 1.53885118 66.066783 2.191732 0.7356823 12.172805
## 649 -6.62477688 65.066335 1.710690 0.6581466 7.856124
## 650 3.60012487 62.147907 2.444267 0.7136656 11.175790
## 651 -0.91920143 24.107607 2.618012 0.7521796 13.122663
## 652 3.82374839 62.298701 2.852827 0.7473655 12.046539
## 653 -4.74939110 48.465238 1.752866 0.7336993 11.253494
## 654 2.70952181 67.002017 2.100221 0.5244368 10.122640
## 655 15.30326885 51.505242 3.190731 0.4477302 11.311587
## 656 4.40546940 67.378763 2.237332 0.5037379 11.961273
## 657 8.45338739 37.822008 1.930228 0.6116408 8.489979
## 658 -7.41197930 65.653738 2.283000 0.5150818 11.526852
## 659 10.59552737 29.404473 3.609351 0.6136330 8.849514
## 660 6.55944234 69.880348 3.000744 0.5464805 10.440620
## 661 14.77218578 62.106427 2.232981 0.4352479 11.841067
## 662 21.16119438 46.783056 1.304350 0.6348374 8.335694
## 663 6.17179268 53.641291 2.410389 0.6149899 12.077098
## 664 2.28520562 65.141504 2.916474 0.5107856 16.407750
## 665 11.22110397 49.329355 2.954994 0.6603176 12.134252
## 666 0.95532810 47.128296 1.552371 0.6685057 11.016573
## 667 6.28813818 58.863377 2.532648 0.6318551 11.128630
## 668 10.89507337 51.394489 2.144050 0.6126034 10.576454
## 669 0.44573476 72.631188 2.160278 0.5885896 5.500417
## 670 0.98137659 33.008771 5.856823 0.8127675 23.205169
## 671 3.27220560 67.848484 3.813042 0.1967958 15.036679
## 672 -7.26024677 66.987209 1.968814 0.6844485 10.849645
## 673 -7.45107461 75.691418 2.292677 0.6822592 7.450240
## 674 -2.21117829 67.409416 2.772789 0.7299558 16.475595
## 675 0.11922267 69.880777 2.956814 0.7613042 19.146423
## 676 8.23313509 64.795911 2.026227 0.2006275 13.212576
## 677 11.23128301 41.947908 3.705170 0.7360826 22.841865
## 678 4.27131791 70.618550 1.710658 0.6970853 6.351767
## 679 -3.00200187 66.056189 2.326915 0.2399673 12.296033
## 680 -11.55790163 43.828818 2.228453 0.6895540 11.215788
## 681 6.25053029 66.476742 2.056378 0.6479549 7.942392
## 682 -0.96616185 67.521346 2.474760 0.7036243 16.998169
## 683 -4.17321288 67.724615 5.060947 0.1856638 14.530166
## 684 2.33147781 38.394329 3.574406 0.8125940 24.111307
## 685 10.01197346 74.569524 4.796245 0.6642377 7.814109
## 686 -3.40645561 71.992843 2.497337 0.6592099 7.571665
## 687 0.93954381 61.480838 3.874932 0.4866495 9.594717
## 688 -7.94368983 45.072403 5.315101 0.3475601 6.694226
## 689 -0.84728901 53.661142 2.351492 0.5320820 8.963710
## 690 -9.78405927 62.995068 3.319206 0.6654987 7.629285
## 691 -7.78143320 53.130270 2.852134 0.4353620 6.013980
## 692 0.66051689 34.000838 3.304318 0.5133746 8.447777
## 693 4.52653007 28.806803 2.181396 0.5117429 6.308669
## 694 0.66088325 32.497011 3.559022 0.4365037 9.937481
## 695 -2.96899431 24.551728 2.200127 0.3607403 8.872050
## 696 -29.59724531 51.912157 3.424700 0.3346459 7.063096
## 697 3.65312669 32.778100 2.505549 0.3964044 7.727249
## 698 -7.55545603 35.474238 2.569264 0.3838028 8.851601
## 699 -9.00938724 37.732791 2.203605 0.3568574 8.527225
## 700 -7.71327636 36.408929 2.196715 0.4483174 8.548153
## 701 -7.03398377 35.251806 2.405884 0.4424259 8.103802
## 702 -4.88973455 37.667512 1.865607 0.3818373 7.805471
## 703 -6.17429277 39.992475 1.605199 0.4165186 6.886055
## 704 -14.26454356 44.939390 3.481755 0.4226480 7.740776
## 705 -0.51945620 69.587253 1.635824 0.4501914 8.338053
## 706 5.39073527 67.500831 1.721320 0.7173889 8.539924
## 707 9.66742768 65.152716 1.582696 0.5924886 9.506026
## 708 3.66408418 69.829892 2.649853 0.4269527 10.533058
## 709 -4.12167491 69.506290 2.240315 0.5128781 9.566212
## 710 -3.35991852 70.026585 3.726543 0.3061349 11.926667
## 711 -4.45523931 68.928924 2.211939 0.3458914 9.668253
## 712 -2.52807983 60.691345 1.950920 0.6074712 11.695778
## 713 16.48374620 6.482761 6.092911 0.7500760 8.092143
## 714 2.76353387 45.911963 2.147509 0.4627007 11.684482
## 715 -1.12417299 44.487005 1.641782 0.5796268 8.453224
## 716 12.64630379 66.026682 2.093321 0.5586220 10.370054
## 717 5.48599764 45.238640 1.299551 0.6089491 7.839265
## 718 7.71501512 52.671458 3.554628 0.4712921 11.247556
## 719 0.88629351 46.291126 1.449713 0.5963421 9.186694
## 720 2.25734744 70.329525 2.595762 0.5109250 11.237614
## 721 1.40708677 60.536233 1.880474 0.6028775 8.942300
## 722 3.41572903 41.440238 2.951810 0.7006086 11.025139
## 723 -12.39664790 30.237023 3.675393 0.7696972 9.588333
## 724 -5.62616316 26.593905 3.649836 0.7755324 9.343389
## 725 11.20601697 34.975801 1.489158 0.5070203 6.377367
## 726 6.26572916 54.623160 2.069802 0.7161144 8.447070
## 727 11.59965979 47.894011 1.570300 0.7563889 8.237427
## 728 -2.53623312 35.228541 2.024725 0.4403611 8.446536
## 729 10.01686195 31.499384 2.877894 0.3788706 8.442800
## 730 -8.69619766 29.035181 2.532100 0.7931171 15.479578
## 731 2.03345391 49.545493 1.865760 0.7368601 15.003961
## 732 4.38140628 25.921624 2.964583 0.8177860 9.786373
## 733 13.23046909 43.251012 1.847536 0.3116201 6.963567
## 734 11.14187216 40.456301 1.921696 0.3440334 6.670545
## 735 5.09435172 39.385144 2.934985 0.3555849 6.614154
## 736 -13.44153630 46.955050 2.547673 0.3336376 7.304380
## 737 -12.42672095 44.547933 2.993930 0.3434859 7.349636
## 738 6.77927523 42.554058 2.558581 0.2711109 7.571343
## 739 8.03443088 48.837607 2.236540 0.3149586 7.069063
## 740 7.36355678 39.885634 4.329798 0.2196674 7.551900
## 741 -3.49002265 28.170874 2.145157 0.6895018 10.415411
## 742 -3.77120936 36.215654 1.702836 0.6601200 12.274073
## 743 6.55272075 65.768708 1.842597 0.6650158 8.084813
## 744 -5.14682601 32.205650 1.972289 0.7567135 13.728334
## 745 5.10917675 63.194395 2.045929 0.3555856 9.756700
## 746 -15.49892647 61.741701 2.421754 0.2184175 9.545099
## 747 6.21087852 65.695476 1.616448 0.6555808 7.117232
## 748 -26.19127474 53.168019 1.709337 0.6824011 7.724964
## OA.Census.Unemployed_se_EDF OA.Census.White_British_se_EDF pred.se.1
## 0 0.5432452 0.16362871 2.864673
## 1 0.5956387 0.17419512 1.918651
## 2 0.6046260 0.16990485 2.074238
## 3 1.0461132 0.19441347 4.082572
## 4 0.8849756 0.20667942 4.190138
## 5 0.5719558 0.16106749 1.775038
## 6 0.7220360 0.14883521 2.635187
## 7 0.7732618 0.16174884 2.883392
## 8 0.7019796 0.17526225 1.791867
## 9 0.6930152 0.16082993 3.068896
## 10 0.7056271 0.18934582 2.937760
## 11 0.8348776 0.16972738 2.224491
## 12 0.6629229 0.18890159 2.926738
## 13 0.4457829 0.14592496 1.928929
## 14 0.7668712 0.16682976 2.043766
## 15 0.7030950 0.21824129 1.976900
## 16 0.6121935 0.13634641 2.073573
## 17 0.4099751 0.08909765 1.584084
## 18 0.5348114 0.16402911 3.712694
## 19 0.5557264 0.18281617 2.513285
## 20 0.5086721 0.17017253 2.047907
## 21 0.5282797 0.14835247 3.236964
## 22 0.5198710 0.18646707 2.470587
## 23 0.4221638 0.11174663 1.768583
## 24 0.8032684 0.18153345 2.941246
## 25 1.0302488 0.19960272 3.546571
## 26 0.8240117 0.15960861 1.532524
## 27 0.5780258 0.15006241 2.786106
## 28 0.6635281 0.15425080 2.267185
## 29 0.9804090 0.18967803 3.455477
## 30 0.5873230 0.16178207 2.340281
## 31 0.6335830 0.16309167 1.787717
## 32 0.6681320 0.15528771 1.568943
## 33 0.6227288 0.17371586 2.193694
## 34 0.6565233 0.14639075 2.239055
## 35 0.6372130 0.14662521 2.603029
## 36 0.7882589 0.25702031 2.113594
## 37 0.6284496 0.14384928 1.745753
## 38 0.7308269 0.24542525 4.333274
## 39 0.5822660 0.16943615 2.340619
## 40 0.9907252 0.27595402 2.835654
## 41 0.5942407 0.15987649 2.673267
## 42 0.8104548 0.15329131 2.252680
## 43 0.7649426 0.22632648 3.229333
## 44 0.6691375 0.18443173 1.934176
## 45 0.5868857 0.14931174 1.723938
## 46 0.6160546 0.15070317 2.303212
## 47 0.9064583 0.27941638 2.361140
## 48 0.8361198 0.25558482 3.028125
## 49 0.8839905 0.27588227 2.209450
## 50 0.6853420 0.15484057 2.012138
## 51 0.8393970 0.16874091 1.626113
## 52 0.6384272 0.12974722 4.759858
## 53 1.0380196 0.16770052 1.671373
## 54 0.6986311 0.12466549 2.636354
## 55 0.6790156 0.12323263 1.438286
## 56 1.1154825 0.25135440 2.802133
## 57 0.8864763 0.19368883 2.547642
## 58 1.1234626 0.24556174 1.951933
## 59 0.7101671 0.17664252 1.462069
## 60 0.7049172 0.18287707 1.790207
## 61 0.7371978 0.16315693 2.162990
## 62 0.9658123 0.20323392 2.006642
## 63 1.0696888 0.21897570 1.918748
## 64 1.1265240 0.33064726 2.026653
## 65 1.2417722 0.24844911 5.080925
## 66 0.5991689 0.13292105 1.940074
## 67 0.7902645 0.16275823 2.212541
## 68 0.6399053 0.16471271 2.989194
## 69 0.6600639 0.16578628 1.797540
## 70 0.6901969 0.16173287 1.838439
## 71 0.7520302 0.15865569 3.416758
## 72 0.6652408 0.19904512 2.075009
## 73 0.9002495 0.22124010 2.942784
## 74 0.7902398 0.18791526 1.726731
## 75 0.8211902 0.19613001 2.377335
## 76 0.6832237 0.16443342 1.616135
## 77 0.6176531 0.14984326 1.555790
## 78 0.8049067 0.18992026 2.308768
## 79 0.7132839 0.15004227 2.692733
## 80 0.9310047 0.18306073 3.470202
## 81 0.7847015 0.15505681 3.077887
## 82 0.8391506 0.18464151 2.741625
## 83 0.7772613 0.16079556 2.767899
## 84 0.9920800 0.19593671 2.429570
## 85 1.0804098 0.26454147 2.832303
## 86 0.8152319 0.16884428 2.472227
## 87 0.9566602 0.26274227 1.845372
## 88 1.2040292 0.22356400 2.340246
## 89 0.8578283 0.21766353 2.223389
## 90 1.2648071 0.28056131 5.086946
## 91 1.0695989 0.19425484 2.456624
## 92 0.6975131 0.19602963 1.760062
## 93 0.4927696 0.10458958 1.509978
## 94 0.7452857 0.24367640 2.392182
## 95 1.0126789 0.30955900 3.669794
## 96 0.4370790 0.11816452 1.605429
## 97 0.9217731 0.28436465 2.212290
## 98 0.6810815 0.16795473 2.304348
## 99 0.6128549 0.16139442 1.940145
## 100 0.7651576 0.23162078 2.247300
## 101 0.6850525 0.19795644 1.914283
## 102 0.6988816 0.17245657 1.743832
## 103 0.7152625 0.16409818 2.656330
## 104 0.7005677 0.14676580 1.661722
## 105 0.5799461 0.11574365 1.364137
## 106 0.8209731 0.13646692 1.965870
## 107 0.8002046 0.18481054 2.128905
## 108 0.6810730 0.15110070 2.566942
## 109 0.7013247 0.16689314 1.766370
## 110 1.2278377 0.20521846 2.562831
## 111 0.7123990 0.13757833 2.407739
## 112 0.9353048 0.17674567 2.927788
## 113 0.7283575 0.15390621 3.285253
## 114 0.9082190 0.18146657 4.693368
## 115 0.8807887 0.17188726 2.284056
## 116 0.6339640 0.14794950 3.782407
## 117 0.6288765 0.14590927 3.105294
## 118 0.8909321 0.17957346 1.771022
## 119 0.5870221 0.17642049 2.932063
## 120 0.5803672 0.17373319 1.866172
## 121 0.8142586 0.17101351 2.283796
## 122 0.7057415 0.12121559 2.447208
## 123 0.8863052 0.15080045 2.155777
## 124 0.8001962 0.17285308 1.893693
## 125 1.3561744 0.21484953 3.914039
## 126 1.1360486 0.25015216 2.289846
## 127 0.4310315 0.12472818 1.975796
## 128 0.6127058 0.13532099 2.890777
## 129 0.8424189 0.17375424 3.210714
## 130 0.6479226 0.13787022 5.773265
## 131 0.6493139 0.17366202 2.844670
## 132 0.7707966 0.20426912 1.988078
## 133 0.5171671 0.16538586 1.883345
## 134 0.5776993 0.17219155 2.576245
## 135 0.6309797 0.13648415 1.852007
## 136 1.0435804 0.19263439 1.941635
## 137 0.6726351 0.13680436 2.008390
## 138 0.7937988 0.17214458 1.978735
## 139 1.0501060 0.20421423 1.641755
## 140 0.6420654 0.15296241 2.471929
## 141 1.1582991 0.25865596 3.096033
## 142 1.0272847 0.20990063 1.978462
## 143 1.0035383 0.20235277 3.046388
## 144 1.1594272 0.24768670 2.098152
## 145 1.0367090 0.24471828 3.112726
## 146 0.7376475 0.19603909 2.710827
## 147 1.1255652 0.25772152 1.895341
## 148 0.6773150 0.16532349 2.067020
## 149 0.8730484 0.23481455 2.960449
## 150 0.4901358 0.14615764 2.550222
## 151 0.7274394 0.17839557 1.967639
## 152 1.3730387 0.22110879 1.962869
## 153 0.2785539 0.05914405 1.387305
## 154 0.9875285 0.20685867 3.561668
## 155 0.5208274 0.10499799 1.298565
## 156 0.4967303 0.14688867 3.122512
## 157 0.5106802 0.14817223 2.409374
## 158 0.4570723 0.13828532 1.982857
## 159 0.6296766 0.14265520 4.207626
## 160 0.7574582 0.20338239 4.315830
## 161 0.6268013 0.13457479 3.453195
## 162 0.6170691 0.14100648 2.404963
## 163 0.8106112 0.19931053 3.190636
## 164 0.5827487 0.17917249 3.267435
## 165 0.5419506 0.16906652 1.706726
## 166 0.5877767 0.21509236 3.194745
## 167 0.6551252 0.17764959 2.535988
## 168 0.9281383 0.19410599 2.486924
## 169 0.8135714 0.18527502 2.288851
## 170 0.6828045 0.18748836 3.777554
## 171 0.8252202 0.25365333 2.514481
## 172 0.6721605 0.15332913 1.527939
## 173 0.9167954 0.18587929 2.403486
## 174 1.1604753 0.19552218 2.273251
## 175 0.9234638 0.17998636 2.039182
## 176 0.9298130 0.18712052 2.463926
## 177 0.8032683 0.16245401 1.351740
## 178 0.9573547 0.17072616 1.743413
## 179 0.9723052 0.22146457 2.402862
## 180 0.7343212 0.18494783 1.962493
## 181 0.8919858 0.20447356 2.014077
## 182 0.5885185 0.14909913 1.185498
## 183 0.8861822 0.17978147 2.592997
## 184 0.7138690 0.14741580 2.523941
## 185 0.7662907 0.16130693 2.803074
## 186 0.8062713 0.16632379 3.030079
## 187 0.7540442 0.19946346 1.793484
## 188 0.6846020 0.17125231 2.372676
## 189 0.6617282 0.18818075 1.883822
## 190 0.7386621 0.21088216 2.015552
## 191 0.7126336 0.16215683 2.004175
## 192 0.5987650 0.16904954 1.521135
## 193 0.6997572 0.16048560 2.357866
## 194 0.3210130 0.07270786 1.537814
## 195 0.7591672 0.16878549 2.277831
## 196 0.5443707 0.16774853 2.987307
## 197 1.0005902 0.30059354 2.652154
## 198 1.0039117 0.29184558 4.099521
## 199 0.8423329 0.25141113 2.634410
## 200 0.5141214 0.16499400 3.344510
## 201 0.5207731 0.15780261 1.848845
## 202 0.6118037 0.13288861 2.270916
## 203 0.5523041 0.12071347 1.937496
## 204 1.0694935 0.21320881 2.537017
## 205 0.8048902 0.18692815 3.719609
## 206 0.6343736 0.14301364 1.906322
## 207 1.0548761 0.20877352 3.550818
## 208 0.6886520 0.16818334 2.680072
## 209 1.0666817 0.21821109 2.074473
## 210 0.8385963 0.18087054 4.444162
## 211 0.8844066 0.18911340 1.792254
## 212 0.5841805 0.13167759 1.839377
## 213 0.9886278 0.18751513 1.797496
## 214 0.6952706 0.15764848 2.702827
## 215 0.6801401 0.14179474 2.845610
## 216 1.0288433 0.19887290 2.306765
## 217 0.8086083 0.19435599 2.365083
## 218 1.0384198 0.21656533 2.171506
## 219 0.6601933 0.15891128 2.109638
## 220 0.6808750 0.19054219 2.770735
## 221 0.7088325 0.19494681 5.100396
## 222 0.5359978 0.15005988 2.184531
## 223 0.5730453 0.15228090 3.476231
## 224 0.5713448 0.15646324 1.973128
## 225 0.8192083 0.23443498 3.011390
## 226 0.5653356 0.15434654 2.822547
## 227 0.7070449 0.19614182 2.841061
## 228 0.5507379 0.16131119 1.801299
## 229 0.5163154 0.14869363 2.369723
## 230 0.6804474 0.17019989 2.519248
## 231 0.8235009 0.17566981 2.452796
## 232 0.8611931 0.18971950 2.108891
## 233 0.7110777 0.17132949 4.433201
## 234 0.8090247 0.16858622 3.616229
## 235 0.7453942 0.15809192 3.002650
## 236 0.6054598 0.15611785 2.761019
## 237 0.5392676 0.14482514 2.012738
## 238 0.4215838 0.12912827 1.364991
## 239 0.5222685 0.15863067 3.259842
## 240 0.9250383 0.18752025 2.497178
## 241 0.8278211 0.16659391 4.541726
## 242 0.4078555 0.11021663 2.984081
## 243 0.7367373 0.15563564 1.599728
## 244 0.6067963 0.16675889 1.376470
## 245 0.7917110 0.18231562 2.551651
## 246 0.7379348 0.23345866 3.038502
## 247 0.8770338 0.20642206 1.947387
## 248 0.4151308 0.08784079 1.210320
## 249 0.7026423 0.16516555 2.322674
## 250 0.4514482 0.10963628 1.699624
## 251 0.6922412 0.20582169 2.543038
## 252 0.5626982 0.16567609 1.692496
## 253 0.6418546 0.17759371 2.465459
## 254 0.6015586 0.17444741 4.338774
## 255 0.6354047 0.14532074 1.661369
## 256 0.6227718 0.19007314 4.821992
## 257 0.7437003 0.24538855 1.865527
## 258 0.6906308 0.15695421 1.562866
## 259 0.5193804 0.17492128 2.596572
## 260 0.4867636 0.12027816 2.376161
## 261 0.4887539 0.13417067 3.302186
## 262 0.5297129 0.15519630 2.053053
## 263 0.4500935 0.12636246 2.094720
## 264 0.4480170 0.14707309 3.440067
## 265 0.5965911 0.15094407 1.777027
## 266 0.6504788 0.17157644 2.100087
## 267 0.7972987 0.24324594 2.034584
## 268 0.8401296 0.26905335 2.839852
## 269 0.8927274 0.27274785 2.508105
## 270 0.7488568 0.23508164 1.971869
## 271 0.9477387 0.27906033 5.180509
## 272 0.8830582 0.26001559 1.770087
## 273 0.7931339 0.21804725 1.850928
## 274 0.8505936 0.22825673 1.988231
## 275 0.7239408 0.17935517 1.853705
## 276 0.8314379 0.21460556 2.121892
## 277 0.7877887 0.16012171 1.487554
## 278 1.0106169 0.18389086 4.255219
## 279 0.8754316 0.16959130 1.726936
## 280 0.5348976 0.12500824 2.545424
## 281 0.5058358 0.11751629 1.342742
## 282 0.6396107 0.14624811 1.813092
## 283 0.7761697 0.15322395 2.860528
## 284 0.9433593 0.17645252 2.512596
## 285 0.5557421 0.12210454 1.832630
## 286 0.4955052 0.12350952 2.357810
## 287 0.7128767 0.16770705 2.849861
## 288 0.9055376 0.18034917 3.628589
## 289 0.9306244 0.21062055 1.895045
## 290 0.7614598 0.18583641 2.324805
## 291 0.7409170 0.18184788 2.732626
## 292 1.1092217 0.24107050 3.501846
## 293 0.5814603 0.14302704 2.740643
## 294 1.0116122 0.20708031 6.346568
## 295 0.8128990 0.18798798 3.906312
## 296 0.9408780 0.20496802 2.931437
## 297 0.6641645 0.15935459 1.619615
## 298 1.0911832 0.20652231 3.584788
## 299 0.6710042 0.16519412 1.879760
## 300 1.0454009 0.18954918 3.040210
## 301 0.8080441 0.24737512 3.526657
## 302 0.4576818 0.13949935 3.140942
## 303 0.5967837 0.16115442 2.566977
## 304 0.9103616 0.26587417 4.149865
## 305 0.5375435 0.14340523 2.485015
## 306 0.6386732 0.18917242 1.913879
## 307 0.7598030 0.16501352 3.486799
## 308 0.6081778 0.14557049 1.594463
## 309 0.6858999 0.16288894 2.039507
## 310 0.6974537 0.15992489 1.558248
## 311 0.7547467 0.16366186 2.922532
## 312 0.7539571 0.17702610 1.898175
## 313 0.5923002 0.14776386 1.875346
## 314 0.5888785 0.14586167 2.093381
## 315 0.6569182 0.19289137 1.908545
## 316 0.6953398 0.15890224 2.199705
## 317 0.7403116 0.16755819 2.006461
## 318 0.5646981 0.16045189 1.666025
## 319 0.5463891 0.11373885 2.584826
## 320 0.7352306 0.22401356 2.350223
## 321 0.6781288 0.15593862 5.202731
## 322 0.7340197 0.23904458 1.709281
## 323 0.6277617 0.14459061 2.530236
## 324 0.7741417 0.24460012 2.951474
## 325 0.7026517 0.21797712 1.941689
## 326 0.6820149 0.15677689 3.137523
## 327 0.8114494 0.25512214 1.818269
## 328 0.8690464 0.18264213 2.328649
## 329 0.7191867 0.21170994 2.276671
## 330 0.9122570 0.26577273 2.203657
## 331 0.7086741 0.20422880 3.468365
## 332 0.9248126 0.27259203 2.088871
## 333 0.8472157 0.24943473 2.884613
## 334 0.8607348 0.25127567 2.042349
## 335 0.8562225 0.26598261 4.297547
## 336 0.8881625 0.26640912 2.040096
## 337 0.8351221 0.17645064 2.472048
## 338 1.1285071 0.24415678 3.121698
## 339 0.8242679 0.20953439 1.955572
## 340 1.1944265 0.23717354 3.024248
## 341 0.8193738 0.15693409 2.060308
## 342 0.7539600 0.14552698 1.553577
## 343 0.6703390 0.16165818 2.060303
## 344 0.6370285 0.15625236 1.477670
## 345 0.6479558 0.18112016 2.438783
## 346 0.8414823 0.18405894 1.663070
## 347 0.6743426 0.13526084 1.545537
## 348 0.8228468 0.16221442 1.506651
## 349 0.5398359 0.15708379 2.750031
## 350 0.8601372 0.24981057 3.495335
## 351 0.4570759 0.12878650 2.232692
## 352 0.6181883 0.17224360 3.227936
## 353 0.5046392 0.12853612 2.135776
## 354 0.7193612 0.19500509 2.923543
## 355 0.8829291 0.26542974 2.453666
## 356 0.4969194 0.12529821 2.311518
## 357 0.8774874 0.17370567 2.749261
## 358 0.8407070 0.16926475 2.570048
## 359 0.5545108 0.14497728 2.131961
## 360 0.6777578 0.13546235 2.407932
## 361 0.6580092 0.15497798 2.003266
## 362 0.9320713 0.28597052 2.685247
## 363 0.8930461 0.27233261 3.175494
## 364 0.7498786 0.22811414 2.747977
## 365 0.8636121 0.26273509 3.396469
## 366 0.8651265 0.25668081 4.855757
## 367 0.8421943 0.24689365 1.602397
## 368 0.9488970 0.29326122 1.950132
## 369 0.6399353 0.15113811 2.660748
## 370 0.6240542 0.14197316 2.771228
## 371 0.6702802 0.14678282 3.544800
## 372 0.6648312 0.15499012 1.657246
## 373 0.6536204 0.16390042 3.266617
## 374 0.6440407 0.16088006 1.591149
## 375 0.7218085 0.14247092 1.728969
## 376 0.4637239 0.12636310 1.825657
## 377 0.6633351 0.16812683 1.593563
## 378 0.6035801 0.15605586 2.381992
## 379 0.7757547 0.16112530 1.362996
## 380 0.6759816 0.16697533 2.753574
## 381 0.7820791 0.16246169 1.820909
## 382 0.6316191 0.12909491 2.266861
## 383 0.6705717 0.14591282 3.759655
## 384 0.6741684 0.16382039 2.029310
## 385 0.7378377 0.14788992 2.298608
## 386 0.8102075 0.17082121 1.715577
## 387 1.2687390 0.25157722 2.669719
## 388 1.0199257 0.28883911 2.473943
## 389 1.0720204 0.19906824 1.806770
## 390 1.1212140 0.31505856 4.525915
## 391 1.0651598 0.20812785 2.288898
## 392 1.0235482 0.27086088 3.751925
## 393 0.6695753 0.13054576 1.174406
## 394 0.9756560 0.27423687 3.021782
## 395 0.9414360 0.18464109 3.215255
## 396 1.0674111 0.29802487 3.048412
## 397 0.9684065 0.19331760 2.485944
## 398 1.1657203 0.33316515 3.642446
## 399 1.0495948 0.21448333 1.971400
## 400 1.1182296 0.32273403 3.173082
## 401 1.0485405 0.18641681 2.717434
## 402 1.0333935 0.28452742 1.999571
## 403 0.6973889 0.15200507 1.761245
## 404 0.5167142 0.13457794 1.693491
## 405 0.5848468 0.14494587 1.904899
## 406 0.8150669 0.16256227 2.703977
## 407 0.7247755 0.16018433 1.672094
## 408 0.6858273 0.20235941 2.927180
## 409 0.8723789 0.26802387 2.460560
## 410 0.8760787 0.20774172 2.561963
## 411 0.8286672 0.19609260 3.626589
## 412 0.9722223 0.22118938 4.295286
## 413 0.9128423 0.21160173 3.918228
## 414 0.9118645 0.20833479 3.064997
## 415 0.7732901 0.23810340 2.268411
## 416 0.8090267 0.24970908 2.419473
## 417 0.4882813 0.10381451 1.590712
## 418 0.9461174 0.28938927 2.771021
## 419 0.7783609 0.18780518 2.573230
## 420 1.0116777 0.28764445 2.239320
## 421 0.7716721 0.18659593 2.335026
## 422 0.8159733 0.23723478 2.084193
## 423 0.7998374 0.17741182 2.590242
## 424 0.8413883 0.21698329 2.299976
## 425 0.8010335 0.17895305 7.117861
## 426 0.9077902 0.16780866 3.086654
## 427 0.6341771 0.15685590 2.426178
## 428 0.8954043 0.17260985 4.224321
## 429 0.5935103 0.13798792 2.999576
## 430 1.0441625 0.18716868 4.705835
## 431 0.5248711 0.16668551 2.225802
## 432 1.0100390 0.18710395 3.012004
## 433 0.7856040 0.24517261 2.507863
## 434 0.8691110 0.25583792 2.217248
## 435 0.6912364 0.17923448 2.018052
## 436 0.9559291 0.27316542 3.011395
## 437 0.4216846 0.12550794 2.225675
## 438 0.3753790 0.11553241 2.961142
## 439 0.5457265 0.16578231 7.665029
## 440 0.5027024 0.12463625 1.998656
## 441 0.3676899 0.10831588 1.756550
## 442 0.7526529 0.20086379 2.898633
## 443 0.7931556 0.20696266 2.751927
## 444 0.6503043 0.16426940 6.212196
## 445 0.9123912 0.21483577 2.635528
## 446 0.6204981 0.12868331 1.953899
## 447 0.8506055 0.16849698 2.005153
## 448 0.7700354 0.16113364 1.686983
## 449 0.7365531 0.14017888 1.970705
## 450 1.0974209 0.22350447 2.644106
## 451 0.7175429 0.15771011 1.658679
## 452 0.8608263 0.16812516 2.645234
## 453 1.0345074 0.18627560 5.576079
## 454 0.9239720 0.22356100 3.262541
## 455 0.7972963 0.18068765 1.481923
## 456 1.0348231 0.21186444 2.947860
## 457 1.1461285 0.20433092 2.022463
## 458 1.0942583 0.25245812 3.252980
## 459 1.2223046 0.22592173 2.864603
## 460 1.1358241 0.28250572 3.465523
## 461 1.1999144 0.22646284 2.656397
## 462 0.9239048 0.24205870 2.132118
## 463 1.2267334 0.28166241 2.728567
## 464 1.1175267 0.20037451 1.883071
## 465 1.1215733 0.19081451 1.921609
## 466 1.4084312 0.21101153 3.452115
## 467 0.7764116 0.12900835 2.020748
## 468 0.8506469 0.14785480 3.021719
## 469 1.5450134 0.24442729 3.718449
## 470 1.1956793 0.17572211 1.823275
## 471 1.2354032 0.18539304 1.867094
## 472 0.5740770 0.16773344 2.666328
## 473 0.8136474 0.24111167 2.963133
## 474 0.9181265 0.28741594 2.873315
## 475 0.5395123 0.11717378 1.907785
## 476 0.5696296 0.11925473 2.153124
## 477 0.8052049 0.25247026 3.464653
## 478 0.6123276 0.14924652 1.944930
## 479 0.5910843 0.16291037 3.147859
## 480 0.5958815 0.15619178 2.507297
## 481 0.9723207 0.30189412 2.571163
## 482 0.4626016 0.12370239 2.367984
## 483 0.9011611 0.26250077 3.049892
## 484 0.7135551 0.21147876 2.128562
## 485 0.7748833 0.19444223 3.788130
## 486 0.7406298 0.18742814 3.056676
## 487 0.8765583 0.24090769 3.666894
## 488 0.7382261 0.22519366 3.675252
## 489 0.8855360 0.25660008 3.412899
## 490 0.7206961 0.18240856 2.470964
## 491 0.6977577 0.20473152 1.784765
## 492 0.5707789 0.15784646 2.244840
## 493 0.9913859 0.30651286 3.548161
## 494 1.0132474 0.30685827 4.726153
## 495 0.7510773 0.23350275 2.114522
## 496 0.6037898 0.17083836 1.968708
## 497 0.5703028 0.16103935 3.359564
## 498 0.6402456 0.18168711 2.073955
## 499 0.7856009 0.24857304 2.184392
## 500 0.6337928 0.17783822 3.922459
## 501 0.5820625 0.16818317 1.571863
## 502 0.6742829 0.17354279 2.368757
## 503 0.6957399 0.15217266 2.148499
## 504 0.6337595 0.15990742 1.896385
## 505 0.8453675 0.18284733 1.900203
## 506 0.6313492 0.15275994 2.202449
## 507 0.7279832 0.15781775 2.988589
## 508 0.7011340 0.17652018 1.855490
## 509 0.6563883 0.16967133 1.961500
## 510 0.7273615 0.14563851 3.114866
## 511 0.6797149 0.15271370 2.313129
## 512 0.6775624 0.14346352 3.978926
## 513 0.7372592 0.17449880 5.250959
## 514 0.5233294 0.12248649 2.641533
## 515 0.7416029 0.18234552 1.779173
## 516 0.6582076 0.15813453 2.530514
## 517 0.7707801 0.17660899 1.701269
## 518 0.7596392 0.15897728 3.154544
## 519 0.6227433 0.12012974 1.580825
## 520 0.6329016 0.13713559 3.171624
## 521 0.6221332 0.11854200 1.362772
## 522 1.1673607 0.17766679 2.875099
## 523 0.7092765 0.12760183 1.376690
## 524 0.6353955 0.13167374 2.328089
## 525 0.7220866 0.13871067 1.814043
## 526 0.6877881 0.15443394 2.843571
## 527 0.8523021 0.18863132 2.259555
## 528 0.5879273 0.15661931 1.680079
## 529 0.8300911 0.19380237 2.671901
## 530 0.7398542 0.17376270 1.961819
## 531 0.8184208 0.19280404 2.457026
## 532 0.5429559 0.11355901 1.981483
## 533 0.8519302 0.20003613 2.890093
## 534 0.6444618 0.15488879 2.689673
## 535 0.6008406 0.15288335 2.541626
## 536 0.7345859 0.16913715 3.786459
## 537 0.5911734 0.15424967 2.525328
## 538 0.6131055 0.15900329 2.518652
## 539 0.7092491 0.16134000 2.106976
## 540 0.7102852 0.19130360 1.911408
## 541 0.4702000 0.14192846 2.504351
## 542 0.5328499 0.15325940 2.388296
## 543 0.9119432 0.28369658 2.907144
## 544 0.5036881 0.14648553 3.469553
## 545 0.5003387 0.14727955 2.524123
## 546 0.8825308 0.24407776 4.868976
## 547 0.5960304 0.16943485 3.398526
## 548 0.8088593 0.24085646 3.242114
## 549 0.6416920 0.16835126 1.574406
## 550 0.6495825 0.16074466 4.084397
## 551 1.4025886 0.27133433 2.472592
## 552 1.0530376 0.21229283 2.439947
## 553 1.1692354 0.24496352 3.533789
## 554 0.7284017 0.21363664 2.544338
## 555 0.8941615 0.27401552 1.797879
## 556 0.6974369 0.17245436 1.980735
## 557 0.7910394 0.23433323 2.251375
## 558 0.7813395 0.24706224 1.913206
## 559 1.1692875 0.25972355 2.033935
## 560 1.2863557 0.25883339 3.630704
## 561 1.0910275 0.22202559 1.859266
## 562 0.7252098 0.14005635 1.874192
## 563 0.6750484 0.14447572 2.768512
## 564 0.9195102 0.17352645 2.134923
## 565 1.0105423 0.18951199 1.968737
## 566 0.7370236 0.15628321 1.675700
## 567 0.8538986 0.19706773 3.949530
## 568 0.6457332 0.13708134 2.212149
## 569 0.7826818 0.16744851 1.419358
## 570 0.6385138 0.13206966 2.574138
## 571 0.8924126 0.17220419 3.568479
## 572 0.7349333 0.16118309 3.189720
## 573 1.0140402 0.19332940 1.866756
## 574 0.6804617 0.13780707 2.504555
## 575 0.7100733 0.15309323 1.799387
## 576 0.6698996 0.15293696 2.926338
## 577 0.8026675 0.16696973 2.470066
## 578 0.8079907 0.16640082 2.771859
## 579 0.6451942 0.15282196 1.965288
## 580 0.6537740 0.14691470 2.965788
## 581 0.6388196 0.13685321 2.420571
## 582 0.7301015 0.15312036 2.545464
## 583 0.7728618 0.15449339 2.508307
## 584 0.8791079 0.17323381 2.997128
## 585 0.9106243 0.17362607 2.893034
## 586 0.8676832 0.17247847 1.913988
## 587 0.5678022 0.11886541 1.293041
## 588 0.6181547 0.12943467 1.383183
## 589 0.6742816 0.14779817 2.123725
## 590 1.2374685 0.28279076 2.763309
## 591 0.9705167 0.16571053 1.976859
## 592 1.1290803 0.24929790 2.198183
## 593 1.2041116 0.20044356 2.861257
## 594 0.9875937 0.16655517 2.912795
## 595 1.2654162 0.29627864 2.908795
## 596 0.3554525 0.07556143 1.696366
## 597 0.9618130 0.27706229 3.633889
## 598 0.6431236 0.13362715 3.179925
## 599 1.0484227 0.30204571 3.945605
## 600 0.7330123 0.12923724 2.567527
## 601 0.5884256 0.14752790 2.556458
## 602 1.1523972 0.18658999 2.383326
## 603 0.3981359 0.08416191 1.110863
## 604 0.4383464 0.12967667 2.122001
## 605 0.5300344 0.14648955 1.602209
## 606 0.5278542 0.14842681 2.220838
## 607 0.6666293 0.15024636 3.705762
## 608 0.7027418 0.16076034 1.675016
## 609 0.4524315 0.14128997 3.566863
## 610 0.4843147 0.14159033 1.592495
## 611 0.7746045 0.16164855 5.258581
## 612 0.8471787 0.18295624 2.642177
## 613 0.8104292 0.16803531 2.281024
## 614 0.8553832 0.20446128 2.700686
## 615 0.7397763 0.17665692 3.377765
## 616 0.7931764 0.17741044 2.852036
## 617 0.5543347 0.12142277 2.622769
## 618 0.7194752 0.17572574 2.340872
## 619 0.6418031 0.13638718 2.131796
## 620 0.8748155 0.19573520 1.983398
## 621 0.4699129 0.13879320 2.068765
## 622 0.5211536 0.16525084 2.950149
## 623 0.6308022 0.20911858 2.291052
## 624 0.6017609 0.21878685 2.776690
## 625 0.5385854 0.20649559 4.176199
## 626 0.5408801 0.17195936 2.055127
## 627 0.6064400 0.18730357 3.467335
## 628 0.5267979 0.20239618 2.679024
## 629 0.8977802 0.19236130 2.212235
## 630 0.7721061 0.14837246 2.526867
## 631 0.6323241 0.16207118 1.747232
## 632 0.7098997 0.15919528 1.891901
## 633 0.7039877 0.16074862 2.419602
## 634 0.7134150 0.16593667 1.868799
## 635 0.6496321 0.15404373 1.625346
## 636 0.7262225 0.14386220 1.691422
## 637 0.9348903 0.19624815 2.132359
## 638 1.0844799 0.19383767 1.966813
## 639 0.8130152 0.16830953 2.752297
## 640 0.9062037 0.18821520 3.300579
## 641 0.6656531 0.13395201 3.895641
## 642 0.7484300 0.13236332 4.899778
## 643 0.9696888 0.18969763 1.745620
## 644 0.7299539 0.15392027 2.845025
## 645 1.0712245 0.22689001 3.201569
## 646 0.7525314 0.15144832 2.157129
## 647 1.1683389 0.22409651 2.347504
## 648 1.0131460 0.18840846 2.258627
## 649 0.7643249 0.13893932 1.762903
## 650 0.8964810 0.17698450 2.518869
## 651 0.8790131 0.18312756 2.697917
## 652 1.0128340 0.18606891 2.939900
## 653 0.7818640 0.17065463 1.806366
## 654 0.7045742 0.16222690 2.164323
## 655 0.8522868 0.18216982 3.288117
## 656 0.8023442 0.18650127 2.305619
## 657 0.5946696 0.13802097 1.989142
## 658 0.7666815 0.17997087 2.352681
## 659 0.6263053 0.14422365 3.719514
## 660 0.7062704 0.16606359 3.092331
## 661 0.8679443 0.18880129 2.301135
## 662 0.5404612 0.13434919 1.344161
## 663 0.8348361 0.18267606 2.483957
## 664 1.0868014 0.22530874 3.005489
## 665 0.8234806 0.17806919 3.045185
## 666 0.7639104 0.16578906 1.599751
## 667 0.7592876 0.16282532 2.609948
## 668 0.7274765 0.15819567 2.209490
## 669 0.4778627 0.09486452 2.226213
## 670 1.1305864 0.31690576 6.035581
## 671 1.5790430 0.25369615 3.929421
## 672 0.6748004 0.15468294 2.028905
## 673 0.6355734 0.12129056 2.362652
## 674 0.8624898 0.23121208 2.857419
## 675 0.9672750 0.26492104 3.047060
## 676 1.3991934 0.22010690 2.088070
## 677 1.0812256 0.31459450 3.818257
## 678 0.5135259 0.10422009 1.762869
## 679 1.2855148 0.20413303 2.397936
## 680 0.7596928 0.15277919 2.296468
## 681 0.7282593 0.13348075 2.119141
## 682 0.8852400 0.23621262 2.550293
## 683 1.5297224 0.24469754 5.215414
## 684 1.1566964 0.32964173 3.683502
## 685 0.6700430 0.14206340 4.942634
## 686 0.6866397 0.13754946 2.573560
## 687 0.6915886 0.18680059 3.993200
## 688 0.4696840 0.15630011 5.477326
## 689 0.6274704 0.17306552 2.423263
## 690 0.6001791 0.16723118 3.420513
## 691 0.4305379 0.12510933 2.939185
## 692 0.7075889 0.20426042 3.405171
## 693 0.5079503 0.15886839 2.247975
## 694 0.8200577 0.17888067 3.667649
## 695 0.7464894 0.16936320 2.267278
## 696 0.5371293 0.17377831 3.529227
## 697 0.5358316 0.18016552 2.582022
## 698 0.5816070 0.21684900 2.647682
## 699 0.6473134 0.18885483 2.270863
## 700 0.5608030 0.21403264 2.263761
## 701 0.5280073 0.20377875 2.479315
## 702 0.5935477 0.16124678 1.922548
## 703 0.4784374 0.15731879 1.654192
## 704 0.5376455 0.18690917 3.588023
## 705 0.7116032 0.16511991 1.685752
## 706 0.6109965 0.15085726 1.773857
## 707 0.6621192 0.17095949 1.631002
## 708 0.7661137 0.19813032 2.730730
## 709 0.7188671 0.17277777 2.308693
## 710 0.9621036 0.22128344 3.840283
## 711 0.8342409 0.19002073 2.279451
## 712 0.7189255 0.21112780 2.010465
## 713 0.5642957 0.13877432 6.278875
## 714 0.7977526 0.20726294 2.213054
## 715 0.6130551 0.13938361 1.691891
## 716 0.6789116 0.16600336 2.157213
## 717 0.5601449 0.13095786 1.339215
## 718 0.8121182 0.18035373 3.663121
## 719 0.6533108 0.15464391 1.493960
## 720 0.8039808 0.18018113 2.674988
## 721 0.5934915 0.14493653 1.937868
## 722 0.7788174 0.18740813 3.041904
## 723 0.6953625 0.15432326 3.787572
## 724 0.6738137 0.14932238 3.761234
## 725 0.5154184 0.15715267 1.534609
## 726 0.6341540 0.13947511 2.132975
## 727 0.6232622 0.13522337 1.618228
## 728 0.5681522 0.21073530 2.086522
## 729 0.6116283 0.19073391 2.965731
## 730 0.9536789 0.29890467 2.609383
## 731 0.9585871 0.28185908 1.922706
## 732 0.6592544 0.19743384 3.055066
## 733 0.5248247 0.16091695 1.903926
## 734 0.5707565 0.16507616 1.980349
## 735 0.5572270 0.16265128 3.024565
## 736 0.5002692 0.16980183 2.625432
## 737 0.5155744 0.17125531 3.085309
## 738 0.5201974 0.17612828 2.636672
## 739 0.5242696 0.16433350 2.304802
## 740 0.7383008 0.19165280 4.461950
## 741 0.7158694 0.15454706 2.210631
## 742 0.9003630 0.17169486 1.754809
## 743 0.7341551 0.14650357 1.898835
## 744 0.9053949 0.19299150 2.032486
## 745 0.7454910 0.17087863 2.108374
## 746 0.9020377 0.16656263 2.495669
## 747 0.5472327 0.12986568 1.665784
## 748 0.6072134 0.12646593 1.761508Ha. So the coefficients are changing for each council region, along with the intercepts, and some other bits and pieces.
Just as a by the way… we are using the @ here to refer to a slot in the S4 object that we know is a data.frame (because of the help pages). Here is another way to force out the same information that is probably a bit more familiar:
gwr.model$SDF@data## sum.w X.Intercept. OA.Census.Unemployed OA.Census.White_British
## 0 19.37380 39.76308 -2.1211713492 0.414463271
## 1 17.79613 42.74097 -2.4024754114 0.374598275
## 2 18.86774 35.35643 -1.4200146223 0.478541226
## 3 16.58991 55.13559 -3.1861815918 0.354558391
## 4 17.85662 31.68033 -2.5145694238 0.501301175
## 5 18.04502 35.65075 -0.7457600625 0.354764143
## 6 18.89680 14.03275 -0.7172170305 0.805499417
## 7 21.28691 24.58915 -2.0543140548 0.578120491
## 8 20.83696 32.44440 -2.9874190821 0.669111544
## 9 23.59242 28.26489 -2.7938474261 0.670004575
## 10 15.10755 39.85191 -0.7170766455 0.182464850
## 11 18.83716 21.23349 -0.8534894413 0.674637674
## 12 17.78281 40.93457 -1.5210056021 -0.118911738
## 13 21.91709 43.09064 -1.6724936501 0.323667918
## 14 20.16734 28.29454 -1.8786756205 0.485223932
## 15 20.27849 64.22671 -2.6778137206 0.211661624
## 16 25.36826 35.45753 -2.5987206319 0.483287498
## 17 35.57794 61.40750 -3.8413440198 0.193823825
## 18 18.87297 52.87810 -1.9352914911 0.045000977
## 19 17.02539 52.04673 -1.9340566636 0.055030118
## 20 15.84963 47.55910 -1.1504928296 0.084314535
## 21 22.11856 53.57755 -2.5981094309 0.128052537
## 22 20.10608 38.10624 -2.1465714378 0.385018238
## 23 31.34068 35.71472 -1.3786807438 0.468371233
## 24 17.40370 50.87960 -3.4691152324 0.384017241
## 25 20.86227 35.53400 0.3528602711 0.518859940
## 26 24.46059 33.58581 -0.5210514444 0.599113336
## 27 25.29005 41.53943 -3.1043639047 0.478109606
## 28 24.61276 23.98491 -1.5471061864 0.638017155
## 29 20.80277 51.86675 -2.9047244198 0.388187572
## 30 18.68480 35.41388 -1.5278374139 0.468980370
## 31 22.32095 51.08233 -3.5601197796 0.396822536
## 32 22.75895 31.40838 -2.7173535822 0.575589059
## 33 21.58603 57.99457 -2.7912847071 0.381565033
## 34 20.92101 24.86821 -1.2685717220 0.338677230
## 35 24.14810 33.29310 -2.3216384981 0.382865362
## 36 19.62927 72.30615 -3.5814647211 0.141580495
## 37 23.40419 32.13484 -2.2004615374 0.391075670
## 38 20.80106 70.20222 -3.1928234128 0.132735841
## 39 23.32264 47.98363 -3.5540017855 0.607432310
## 40 15.53839 60.52869 -4.0790722954 0.302841016
## 41 23.79648 60.11323 -3.2118909259 0.358042840
## 42 24.85753 60.15514 0.0690532430 0.034277724
## 43 14.58020 51.35902 -3.1108136937 0.318841276
## 44 17.42853 53.01573 -2.6859321709 0.183710303
## 45 25.70224 33.94851 -3.3511195457 0.628618966
## 46 23.16224 31.35297 -3.4924843564 0.664932871
## 47 17.93635 28.52212 -2.8416351472 0.919494289
## 48 18.51631 30.17978 -2.9336067889 0.927555245
## 49 19.48215 35.89585 -3.1481843992 0.783043396
## 50 20.30936 64.81946 -4.0947323481 0.266721339
## 51 20.26210 22.07974 -1.2377028599 0.645436146
## 52 24.01974 16.44619 -1.2508618878 0.791735897
## 53 18.86319 67.63203 -0.6125824600 0.048504238
## 54 25.97566 74.27669 -3.0257479121 0.064007760
## 55 25.72173 78.58275 -4.1407424710 0.051519670
## 56 17.91068 48.99736 -1.9181315221 0.478234290
## 57 23.68628 43.39913 -2.1849286708 0.535036199
## 58 17.65259 47.31774 -2.0718083229 0.503862083
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## 693 22.39972 42.41687 -2.2140759067 0.028746243
## 694 15.81555 23.00543 -0.7736433546 0.308089499
## 695 16.99005 21.08617 -0.5426857812 0.277389277
## 696 17.00729 42.97682 -1.6550929574 0.220979760
## 697 19.42303 50.27024 -2.4663322534 0.127526047
## 698 14.97452 47.47154 -2.0163514491 0.165944433
## 699 17.06941 51.21021 -2.3840352678 0.092017003
## 700 16.34837 42.53470 -2.3920617474 0.305360594
## 701 17.85048 42.89961 -2.4072699383 0.296328725
## 702 19.42913 51.02158 -2.4403533281 0.133546781
## 703 20.94832 52.31443 -2.4438737320 0.096813498
## 704 17.43505 49.59267 -2.2465308254 0.128565616
## 705 23.11293 61.59695 -2.7753728543 0.324509304
## 706 22.34809 64.96775 -3.5537617996 0.228191498
## 707 20.75877 66.71874 -3.1560814068 0.217923393
## 708 19.86245 57.81625 -2.4495944540 0.381442467
## 709 20.81328 64.95883 -2.8837599822 0.245140489
## 710 15.92377 60.15197 -2.1244627657 0.304686647
## 711 20.37976 61.14019 -2.3789862556 0.308641592
## 712 17.84526 58.54856 -2.7407916700 0.373524504
## 713 27.66785 58.39350 -3.6157633193 0.323510115
## 714 16.01491 14.79161 -0.6563969669 0.722650048
## 715 27.68872 16.25925 -0.9588246252 0.757197450
## 716 22.66934 54.29824 -3.5833956358 0.306888989
## 717 27.44441 27.66304 -1.7843877214 0.627509317
## 718 18.31863 61.18115 -3.7834251392 0.211924276
## 719 24.12921 15.95352 -0.9455670444 0.755846260
## 720 17.41831 54.35372 -3.5592913309 0.323140940
## 721 25.61465 45.91247 -3.0258271273 0.399929891
## 722 16.30908 22.70535 -1.7334420081 0.714587215
## 723 19.52266 21.02932 -1.6956863173 0.758310623
## 724 20.08659 19.49686 -1.5214453632 0.773467058
## 725 21.25304 40.11539 -2.1650082966 0.169177719
## 726 24.04634 19.38159 -1.6841189487 0.766523151
## 727 22.22676 19.28537 -1.6997459186 0.781446569
## 728 16.78128 41.03885 -2.2991173711 0.335912442
## 729 17.27878 40.81541 -2.0236391750 0.310415744
## 730 16.15150 28.62946 -2.8783170861 0.882866804
## 731 17.82538 40.91332 -3.5303201768 0.677459981
## 732 22.44276 38.27024 -3.3893595487 0.769536736
## 733 18.69823 52.34684 -1.6694224912 0.035147891
## 734 20.72306 46.10175 -2.3271896917 0.009913865
## 735 20.92407 44.80774 -2.2243989545 0.021450238
## 736 17.31309 48.58024 -1.6521522870 0.173626648
## 737 16.18733 52.45362 -1.8486532430 0.112304920
## 738 15.44582 50.51435 -1.4292778223 0.084022632
## 739 16.98309 55.48411 -1.7638497080 0.010263244
## 740 14.82228 40.53266 -0.9495597858 0.153288147
## 741 21.00231 34.20075 -4.0316811408 0.640203169
## 742 18.96892 36.52396 -3.8347533745 0.545221539
## 743 17.16121 84.87585 -5.1256120965 -0.049676894
## 744 17.29440 39.78479 -4.4486776594 0.567644212
## 745 25.14188 61.90236 -1.4734054799 0.142968622
## 746 23.50914 75.22481 -0.9676764221 -0.176387682
## 747 23.44060 80.69875 -4.5643184064 -0.043581426
## 748 22.97826 63.84316 -5.3079714982 0.256476518
## X.Intercept._se OA.Census.Unemployed_se OA.Census.White_British_se
## 0 7.811437 0.5271556 0.15878243
## 1 8.393207 0.5779974 0.16903589
## 2 7.639578 0.5867185 0.16487270
## 3 12.139539 1.0151300 0.18865543
## 4 12.998497 0.8587648 0.20055809
## 5 6.345499 0.5550159 0.15629707
## 6 9.534746 0.7006511 0.14442708
## 7 10.512553 0.7503597 0.15695824
## 8 10.978764 0.6811887 0.17007142
## 9 10.158127 0.6724898 0.15606655
## 10 7.272045 0.6847282 0.18373787
## 11 10.883762 0.8101506 0.16470048
## 12 7.487874 0.6432888 0.18330680
## 13 6.088492 0.4325799 0.14160303
## 14 9.491180 0.7441584 0.16188868
## 15 9.981601 0.6822711 0.21177753
## 16 7.937277 0.5940619 0.13230817
## 17 4.944919 0.3978326 0.08645880
## 18 6.921157 0.5189716 0.15917098
## 19 7.562541 0.5392672 0.17740161
## 20 6.972713 0.4936065 0.16513244
## 21 7.123187 0.5126334 0.14395864
## 22 7.388074 0.5044737 0.18094438
## 23 4.724556 0.4096603 0.10843697
## 24 11.090576 0.7794776 0.17615689
## 25 11.087585 0.9997354 0.19369098
## 26 9.292061 0.7996065 0.15488141
## 27 9.145687 0.5609061 0.14561794
## 28 9.543479 0.6438761 0.14968228
## 29 11.805990 0.9513717 0.18406024
## 30 7.552938 0.5699280 0.15699049
## 31 10.010525 0.6148179 0.15826130
## 32 9.819646 0.6483436 0.15068848
## 33 7.602349 0.6042852 0.16857083
## 34 7.519302 0.6370787 0.14205502
## 35 7.905591 0.6183403 0.14228254
## 36 12.672740 0.7649126 0.24940801
## 37 7.693377 0.6098365 0.13958883
## 38 11.578905 0.7091817 0.23815636
## 39 7.786889 0.5650208 0.16441788
## 40 14.261769 0.9613824 0.26778095
## 41 7.227731 0.5766407 0.15514134
## 42 8.799266 0.7864511 0.14875120
## 43 11.356298 0.7422869 0.21962325
## 44 9.065707 0.6493193 0.17896933
## 45 9.267153 0.5695036 0.14488949
## 46 9.464400 0.5978086 0.14623972
## 47 14.142633 0.8796113 0.27114077
## 48 12.699169 0.8113560 0.24801503
## 49 13.974943 0.8578089 0.26771133
## 50 7.367004 0.6650439 0.15025458
## 51 10.935728 0.8145361 0.16374323
## 52 7.913742 0.6195185 0.12590443
## 53 9.236975 1.0072760 0.16273365
## 54 6.653359 0.6779394 0.12097321
## 55 6.719732 0.6589049 0.11958279
## 56 14.619575 1.0824447 0.24390991
## 57 11.556582 0.8602211 0.18795225
## 58 14.562298 1.0901885 0.23828881
## 59 9.239015 0.6891337 0.17141081
## 60 9.794853 0.6840393 0.17746071
## 61 9.052415 0.7153639 0.15832463
## 62 11.250309 0.9372073 0.19721464
## 63 15.263847 1.0380073 0.21249018
## 64 23.335407 1.0931591 0.32085431
## 65 17.114015 1.2049940 0.24109067
## 66 9.106892 0.5814230 0.12898426
## 67 10.781125 0.7668588 0.15793774
## 68 10.238903 0.6209529 0.15983433
## 69 10.138980 0.6405144 0.16087610
## 70 10.146699 0.6697550 0.15694275
## 71 10.343652 0.7297569 0.15395671
## 72 10.362619 0.6455381 0.19314990
## 73 9.209369 0.8735864 0.21468752
## 74 10.821862 0.7668349 0.18234968
## 75 11.281045 0.7968686 0.19032113
## 76 8.696585 0.6629884 0.15956331
## 77 7.682208 0.5993598 0.14540528
## 78 10.475347 0.7810674 0.18429529
## 79 9.791888 0.6921582 0.14559840
## 80 11.844409 0.9034307 0.17763893
## 81 10.195052 0.7614606 0.15046442
## 82 12.062091 0.8142971 0.17917289
## 83 10.408393 0.7542408 0.15603320
## 84 13.261129 0.9626971 0.19013356
## 85 18.805473 1.0484108 0.25670641
## 86 11.461699 0.7910868 0.16384354
## 87 18.250920 0.9283264 0.25496050
## 88 15.415875 1.1683689 0.21694259
## 89 15.423215 0.8324216 0.21121688
## 90 19.986980 1.2273467 0.27225179
## 91 13.164076 1.0379200 0.18850149
## 92 9.490594 0.6768545 0.19022372
## 93 5.451592 0.4781750 0.10149190
## 94 9.649086 0.7232122 0.23645931
## 95 15.618882 0.9826859 0.30039064
## 96 4.965028 0.4241338 0.11466478
## 97 14.521395 0.8944725 0.27594248
## 98 9.491479 0.6609096 0.16298033
## 99 8.812235 0.5947037 0.15661432
## 100 11.758454 0.7424956 0.22476075
## 101 9.599242 0.6647630 0.19209346
## 102 8.957357 0.6781824 0.16734883
## 103 7.829183 0.6940782 0.15923801
## 104 9.557123 0.6798186 0.14241896
## 105 5.993771 0.5627695 0.11231561
## 106 7.260586 0.7966580 0.13242511
## 107 9.598785 0.7765046 0.17933692
## 108 7.890981 0.6609013 0.14662547
## 109 8.204197 0.6805532 0.16195018
## 110 12.679882 1.1914722 0.19914040
## 111 7.840065 0.6912995 0.13350360
## 112 10.757202 0.9076034 0.17151091
## 113 9.034032 0.7067854 0.14934790
## 114 10.971236 0.8813198 0.17609198
## 115 11.624644 0.8547019 0.16679639
## 116 9.210477 0.6151875 0.14356761
## 117 8.849727 0.6102508 0.14158780
## 118 11.537423 0.8645449 0.17425494
## 119 8.302161 0.5696359 0.17119536
## 120 7.891761 0.5631782 0.16858765
## 121 12.192618 0.7901423 0.16594852
## 122 6.842985 0.6848392 0.11762549
## 123 8.626331 0.8600551 0.14633411
## 124 12.262402 0.7764964 0.16773360
## 125 12.565420 1.3160079 0.20848622
## 126 17.913058 1.1024017 0.24274328
## 127 5.652812 0.4182654 0.12103404
## 128 7.186962 0.5945590 0.13131312
## 129 8.861152 0.8174685 0.16860807
## 130 7.383699 0.6287328 0.13378685
## 131 7.613788 0.6300829 0.16851858
## 132 10.775658 0.7479675 0.19821918
## 133 6.336701 0.5018499 0.16048754
## 134 7.590387 0.5605893 0.16709166
## 135 6.840795 0.6122917 0.13244184
## 136 11.894991 1.0126722 0.18692904
## 137 7.648805 0.6527134 0.13275255
## 138 11.728314 0.7702885 0.16704608
## 139 12.223321 1.0190045 0.19816591
## 140 8.992403 0.6230490 0.14843205
## 141 18.224034 1.1239932 0.25099522
## 142 15.297271 0.9968591 0.20368390
## 143 14.277238 0.9738160 0.19635958
## 144 17.591385 1.1250879 0.24035084
## 145 13.983858 1.0060042 0.23747034
## 146 10.010817 0.7158002 0.19023290
## 147 14.721560 1.0922288 0.25008845
## 148 8.660856 0.6572546 0.16042702
## 149 12.918362 0.8471909 0.22785993
## 150 6.216250 0.4756192 0.14182881
## 151 9.472020 0.7058945 0.17311194
## 152 12.841184 1.3323727 0.21456010
## 153 3.385390 0.2703039 0.05739235
## 154 15.018856 0.9582804 0.20073203
## 155 6.134976 0.5054018 0.10188822
## 156 6.801091 0.4820184 0.14253819
## 157 7.099674 0.4955551 0.14378374
## 158 5.645905 0.4435349 0.13418966
## 159 6.722842 0.6110271 0.13843010
## 160 8.219330 0.7350241 0.19735872
## 161 6.596773 0.6082370 0.13058902
## 162 6.873698 0.5987931 0.13683022
## 163 8.583806 0.7866029 0.19340745
## 164 7.106847 0.5654891 0.17386585
## 165 6.550123 0.5258994 0.16405919
## 166 8.329586 0.5703682 0.20872186
## 167 9.657043 0.6357220 0.17238805
## 168 11.563009 0.9006492 0.18835706
## 169 11.237778 0.7894754 0.17978764
## 170 9.810588 0.6625815 0.18193543
## 171 12.731922 0.8007792 0.24614075
## 172 8.261089 0.6522528 0.14878790
## 173 10.412148 0.8896422 0.18037401
## 174 11.147461 1.1261050 0.18973130
## 175 10.142518 0.8961131 0.17465561
## 176 10.496201 0.9022743 0.18157848
## 177 9.020884 0.7794775 0.15764253
## 178 9.664341 0.9290003 0.16566968
## 179 13.158798 0.9435080 0.21490534
## 180 10.327927 0.7125725 0.17947014
## 181 12.212919 0.8655674 0.19841756
## 182 7.815570 0.5710880 0.14468319
## 183 11.688425 0.8599357 0.17445679
## 184 9.607271 0.6927260 0.14304971
## 185 10.310325 0.7435951 0.15652943
## 186 10.628151 0.7823916 0.16139769
## 187 11.307958 0.7317113 0.19355585
## 188 10.185138 0.6643258 0.16618024
## 189 9.563350 0.6421295 0.18260730
## 190 11.237783 0.7167848 0.20463636
## 191 7.786865 0.6915272 0.15735415
## 192 8.880148 0.5810311 0.16404272
## 193 9.083484 0.6790322 0.15573241
## 194 3.839353 0.3115054 0.07055444
## 195 10.050506 0.7366825 0.16378649
## 196 6.527215 0.5282478 0.16278024
## 197 15.458056 0.9709552 0.29169071
## 198 15.202167 0.9741783 0.28320184
## 199 12.915855 0.8173851 0.24396496
## 200 6.821524 0.4988944 0.16010729
## 201 6.151860 0.5053491 0.15312889
## 202 7.303681 0.5936836 0.12895278
## 203 7.345124 0.5359463 0.11713824
## 204 13.200990 1.0378178 0.20689410
## 205 11.823949 0.7810513 0.18139181
## 206 8.621016 0.6155850 0.13877794
## 207 11.547937 1.0236333 0.20259017
## 208 9.584265 0.6682559 0.16320217
## 209 13.395802 1.0350892 0.21174822
## 210 10.843448 0.8137592 0.17551361
## 211 11.390217 0.8582127 0.18351234
## 212 7.703039 0.5668786 0.12777762
## 213 11.755420 0.9593471 0.18196140
## 214 9.398642 0.6746784 0.15297932
## 215 9.040480 0.6599961 0.13759514
## 216 12.391679 0.9983715 0.19298278
## 217 12.185002 0.7846593 0.18859965
## 218 13.327630 1.0076644 0.21015120
## 219 9.937325 0.6406400 0.15420472
## 220 9.979188 0.6607092 0.18489880
## 221 10.270586 0.6878387 0.18917297
## 222 7.279060 0.5201229 0.14561548
## 223 7.406974 0.5560732 0.14777072
## 224 7.633426 0.5544230 0.15182919
## 225 12.399720 0.7949454 0.22749160
## 226 7.442544 0.5485918 0.14977518
## 227 10.216035 0.6861039 0.19033259
## 228 7.544969 0.5344264 0.15653356
## 229 6.807203 0.5010234 0.14428969
## 230 10.547664 0.6602943 0.16515900
## 231 11.268166 0.7991109 0.17046691
## 232 12.054820 0.8356867 0.18410048
## 233 10.743763 0.6900174 0.16625514
## 234 10.815872 0.7850635 0.16359311
## 235 10.243923 0.7233174 0.15340963
## 236 9.324507 0.5875276 0.15149403
## 237 5.758284 0.5232958 0.14053579
## 238 5.168170 0.4090975 0.12530381
## 239 6.187161 0.5068002 0.15393243
## 240 11.789132 0.8976410 0.18196637
## 241 10.692167 0.8033031 0.16165981
## 242 4.748075 0.3957758 0.10695229
## 243 8.311983 0.7149170 0.15102610
## 244 8.576024 0.5888245 0.16181991
## 245 10.416236 0.7682625 0.17691589
## 246 11.363857 0.7160790 0.22654419
## 247 11.919411 0.8510582 0.20030836
## 248 4.796336 0.4028356 0.08523917
## 249 9.485477 0.6818317 0.16027376
## 250 5.636962 0.4380774 0.10638913
## 251 8.187725 0.6717387 0.19972576
## 252 7.511175 0.5460325 0.16076917
## 253 7.102540 0.6228445 0.17233383
## 254 7.744675 0.5837420 0.16928071
## 255 7.983506 0.6165856 0.14101670
## 256 8.536056 0.6043268 0.18444365
## 257 11.377146 0.7216738 0.23812076
## 258 8.859550 0.6701760 0.15230562
## 259 7.183017 0.5039976 0.16974055
## 260 5.153149 0.4723468 0.11671582
## 261 5.405914 0.4742782 0.13019687
## 262 6.129085 0.5140241 0.15059978
## 263 5.142828 0.4367629 0.12261992
## 264 6.165616 0.4347478 0.14271715
## 265 6.066329 0.5789216 0.14647348
## 266 6.690731 0.6312132 0.16649478
## 267 12.689958 0.7736848 0.23604161
## 268 13.787376 0.8152470 0.26108466
## 269 14.102566 0.8662871 0.26466974
## 270 12.177476 0.7266775 0.22811911
## 271 14.541146 0.9196690 0.27079526
## 272 13.659400 0.8569042 0.25231458
## 273 11.743234 0.7696432 0.21158924
## 274 12.369928 0.8254012 0.22149634
## 275 9.535971 0.7024994 0.17404312
## 276 11.649924 0.8068128 0.20824948
## 277 11.096052 0.7644564 0.15537931
## 278 13.025854 0.9806849 0.17844447
## 279 11.690865 0.8495035 0.16456843
## 280 6.848564 0.5190553 0.12130581
## 281 6.647674 0.4908542 0.11403576
## 282 9.263709 0.6206670 0.14191660
## 283 10.739434 0.7531815 0.14868584
## 284 12.374008 0.9154193 0.17122643
## 285 7.084276 0.5392824 0.11848811
## 286 6.707228 0.4808296 0.11985148
## 287 10.192137 0.6917631 0.16273998
## 288 10.824337 0.8787178 0.17500768
## 289 12.712172 0.9030616 0.20438250
## 290 11.640590 0.7389073 0.18033240
## 291 11.021945 0.7189729 0.17646200
## 292 14.551326 1.0763693 0.23393059
## 293 8.825723 0.5642389 0.13879093
## 294 12.699650 0.9816508 0.20094711
## 295 11.869992 0.7888230 0.18242024
## 296 12.441118 0.9130116 0.19889738
## 297 9.738285 0.6444936 0.15463490
## 298 11.386785 1.0588650 0.20040564
## 299 9.563586 0.6511307 0.16030149
## 300 11.584847 1.0144388 0.18393521
## 301 11.271231 0.7841119 0.24004849
## 302 6.520693 0.4441264 0.13536772
## 303 7.410296 0.5791085 0.15638143
## 304 13.884482 0.8833990 0.25799964
## 305 6.854088 0.5216228 0.13915792
## 306 8.980479 0.6197573 0.18356961
## 307 10.613775 0.7372996 0.16012623
## 308 9.198111 0.5901651 0.14125906
## 309 10.219073 0.6655852 0.15806458
## 310 10.098053 0.6767969 0.15518831
## 311 10.588882 0.7323930 0.15881460
## 312 11.204752 0.7316267 0.17178303
## 313 9.162326 0.5747577 0.14338746
## 314 9.113953 0.5714374 0.14154161
## 315 8.496493 0.6374619 0.18717841
## 316 8.422412 0.6747456 0.15419596
## 317 9.160904 0.7183854 0.16259553
## 318 7.148716 0.5479732 0.15569971
## 319 6.832330 0.5302064 0.11037019
## 320 11.418897 0.7134550 0.21737884
## 321 8.341588 0.6580443 0.15132011
## 322 11.713430 0.7122799 0.23196468
## 323 8.155072 0.6091690 0.14030819
## 324 11.230018 0.7512135 0.23735567
## 325 10.030368 0.6818409 0.21152118
## 326 8.463675 0.6618153 0.15213355
## 327 12.846747 0.7874163 0.24756606
## 328 10.155138 0.8433074 0.17723273
## 329 10.301696 0.6978862 0.20543962
## 330 13.820687 0.8852383 0.25790120
## 331 9.625532 0.6876849 0.19818005
## 332 14.001106 0.8974220 0.26451854
## 333 12.947528 0.8221233 0.24204709
## 334 13.020572 0.8352420 0.24383351
## 335 13.460556 0.8308634 0.25810487
## 336 13.663055 0.8618573 0.25851875
## 337 10.482960 0.8103878 0.17122462
## 338 13.750855 1.0950835 0.23692546
## 339 11.338402 0.7998551 0.20332851
## 340 13.974598 1.1590505 0.23014905
## 341 8.872546 0.7951060 0.15228609
## 342 8.505830 0.7316296 0.14121683
## 343 7.538482 0.6504852 0.15687027
## 344 7.312368 0.6181613 0.15162455
## 345 8.782795 0.6287650 0.17575584
## 346 8.748571 0.8165597 0.17860757
## 347 7.905395 0.6543703 0.13125475
## 348 9.346493 0.7984761 0.15741003
## 349 7.530842 0.5238473 0.15243136
## 350 12.608880 0.8346621 0.24241180
## 351 5.922153 0.4435384 0.12497216
## 352 8.383553 0.5998791 0.16714218
## 353 5.804064 0.4896930 0.12472920
## 354 9.886257 0.6980555 0.18922953
## 355 13.578712 0.8567789 0.25756838
## 356 7.064211 0.4822019 0.12158719
## 357 11.908091 0.8514984 0.16856094
## 358 11.359414 0.8158073 0.16425155
## 359 8.747989 0.5380876 0.14068342
## 360 6.473665 0.6576844 0.13145029
## 361 9.819669 0.6385206 0.15038792
## 362 14.572641 0.9044656 0.27750079
## 363 13.856981 0.8665963 0.26426679
## 364 11.046424 0.7276691 0.22135797
## 365 13.302434 0.8380340 0.25495353
## 366 13.231365 0.8395037 0.24907857
## 367 12.782393 0.8172506 0.23958127
## 368 14.944870 0.9207931 0.28457555
## 369 8.319740 0.6209820 0.14666178
## 370 7.475676 0.6055713 0.13776827
## 371 7.135667 0.6504282 0.14243548
## 372 7.209006 0.6451406 0.15039970
## 373 9.607471 0.6342618 0.15904610
## 374 9.146948 0.6249658 0.15611519
## 375 7.262664 0.7004303 0.13825129
## 376 5.746809 0.4499896 0.12262054
## 377 8.438717 0.6436888 0.16314733
## 378 9.020188 0.5857035 0.15143387
## 379 9.006326 0.7527787 0.15635317
## 380 9.722789 0.6559607 0.16202994
## 381 10.721573 0.7589158 0.15764998
## 382 7.789838 0.6129121 0.12527144
## 383 8.806840 0.6507111 0.14159125
## 384 9.795936 0.6542012 0.15896844
## 385 9.688800 0.7159848 0.14350979
## 386 11.246997 0.7862112 0.16576191
## 387 17.158462 1.2311621 0.24412613
## 388 20.367074 0.9897180 0.28028442
## 389 13.435912 1.0402698 0.19317234
## 390 22.495954 1.0880065 0.30572731
## 391 13.978714 1.0336124 0.20196363
## 392 19.357169 0.9932332 0.26283866
## 393 9.348581 0.6497442 0.12667932
## 394 19.229825 0.9467595 0.26611466
## 395 13.438531 0.9135531 0.17917248
## 396 21.107440 1.0357971 0.28919812
## 397 13.276194 0.9397247 0.18759201
## 398 23.713119 1.1311945 0.32329763
## 399 15.254936 1.0185084 0.20813087
## 400 22.877326 1.0851105 0.31317546
## 401 12.770353 1.0174854 0.18089561
## 402 20.196396 1.0027870 0.27610043
## 403 9.939497 0.6767339 0.14750305
## 404 7.750022 0.5014104 0.13059207
## 405 8.241558 0.5675251 0.14065293
## 406 10.708139 0.7909266 0.15774759
## 407 10.157443 0.7033094 0.15544007
## 408 7.980291 0.6655148 0.19636603
## 409 13.777744 0.8465412 0.26008567
## 410 8.882957 0.8501314 0.20158893
## 411 8.448554 0.8041242 0.19028483
## 412 9.474324 0.9434275 0.21463830
## 413 9.328675 0.8858061 0.20533461
## 414 9.224475 0.8848573 0.20216443
## 415 12.315847 0.7503872 0.23105138
## 416 12.899638 0.7850653 0.24231332
## 417 5.705971 0.4738196 0.10073978
## 418 14.633288 0.9180958 0.28081828
## 419 9.092317 0.7553078 0.18224286
## 420 15.051626 0.9817143 0.27912514
## 421 8.912583 0.7488171 0.18106943
## 422 12.352833 0.7918063 0.23020848
## 423 9.297613 0.7761483 0.17215732
## 424 11.937192 0.8164685 0.21055679
## 425 9.129714 0.7773089 0.17365291
## 426 11.295917 0.8809037 0.16283859
## 427 7.106752 0.6153943 0.15221022
## 428 11.268950 0.8688847 0.16749758
## 429 6.377888 0.5759320 0.13390106
## 430 12.667308 1.0132370 0.18162521
## 431 6.789573 0.5093258 0.16174871
## 432 12.550623 0.9801242 0.18156240
## 433 10.083764 0.7623364 0.23791121
## 434 13.183945 0.8433701 0.24826064
## 435 7.941599 0.6707637 0.17392601
## 436 14.282331 0.9276168 0.26507494
## 437 5.137609 0.4091954 0.12179071
## 438 4.748455 0.3642612 0.11211063
## 439 7.026472 0.5295634 0.16087225
## 440 5.217891 0.4878136 0.12094483
## 441 4.433260 0.3567999 0.10510783
## 442 10.881974 0.7303612 0.19491471
## 443 11.426523 0.7696643 0.20083294
## 444 8.475681 0.6310439 0.15940415
## 445 12.731917 0.8853684 0.20847287
## 446 6.745185 0.6021205 0.12487204
## 447 9.112958 0.8254127 0.16350652
## 448 8.604589 0.7472289 0.15636126
## 449 8.178766 0.7147382 0.13602713
## 450 12.238316 1.0649181 0.21688483
## 451 7.653344 0.6962911 0.15303913
## 452 10.949998 0.8353307 0.16314571
## 453 12.702119 1.0038678 0.18075858
## 454 15.755489 0.8966063 0.21693968
## 455 12.701819 0.7736823 0.17533614
## 456 14.552823 1.0041742 0.20558954
## 457 13.973509 1.1121831 0.19827915
## 458 17.983908 1.0618491 0.24498095
## 459 15.500650 1.1861029 0.21923050
## 460 20.092496 1.1021838 0.27413861
## 461 15.364955 1.1643759 0.21975558
## 462 17.038965 0.8965410 0.23488952
## 463 20.136610 1.1904006 0.27332027
## 464 13.659137 1.0844283 0.19443992
## 465 10.761712 1.0883551 0.18516306
## 466 12.057071 1.3667170 0.20476190
## 467 7.263356 0.7534162 0.12518744
## 468 8.148995 0.8254528 0.14347571
## 469 14.097685 1.4992540 0.23718796
## 470 9.968499 1.1602663 0.17051766
## 471 10.488234 1.1988136 0.17990216
## 472 7.531901 0.5570743 0.16276560
## 473 12.524764 0.7895492 0.23397054
## 474 14.685281 0.8909339 0.27890340
## 475 6.536235 0.5235333 0.11370338
## 476 6.120533 0.5527586 0.11572270
## 477 12.809977 0.7813567 0.24499272
## 478 6.953971 0.5941920 0.14482621
## 479 7.372120 0.5735779 0.15808537
## 480 6.547999 0.5782330 0.15156577
## 481 15.203489 0.9435230 0.29295277
## 482 5.266479 0.4489005 0.12003864
## 483 13.615291 0.8744709 0.25472615
## 484 8.719844 0.6924214 0.20521528
## 485 10.784052 0.7519332 0.18868333
## 486 8.836036 0.7186942 0.18187699
## 487 12.785161 0.8505969 0.23377260
## 488 9.399553 0.7163617 0.21852398
## 489 13.348787 0.8593087 0.24900022
## 490 8.542686 0.6993508 0.17700607
## 491 10.396504 0.6770918 0.19866788
## 492 6.398687 0.5538738 0.15317144
## 493 15.341070 0.9620235 0.29743472
## 494 15.376561 0.9832376 0.29776989
## 495 12.008651 0.7288323 0.22658698
## 496 7.594836 0.5859071 0.16577855
## 497 7.242082 0.5534119 0.15626977
## 498 8.400365 0.6212831 0.17630599
## 499 12.813035 0.7623334 0.24121092
## 500 7.706847 0.6150214 0.17257109
## 501 7.432552 0.5648233 0.16320201
## 502 8.900644 0.6543123 0.16840289
## 503 7.811330 0.6751338 0.14766568
## 504 7.806449 0.6149891 0.15517136
## 505 8.704763 0.8203298 0.17743185
## 506 7.228388 0.6126502 0.14823557
## 507 7.536386 0.7064222 0.15314358
## 508 9.168217 0.6803681 0.17129209
## 509 7.763722 0.6369477 0.16464609
## 510 9.620189 0.7058189 0.14132507
## 511 9.750656 0.6595834 0.14819070
## 512 8.685081 0.6574947 0.13921449
## 513 10.598925 0.7154234 0.16933058
## 514 7.278429 0.5078296 0.11885875
## 515 10.420746 0.7196384 0.17694490
## 516 9.603881 0.6387131 0.15345098
## 517 11.187403 0.7479515 0.17137828
## 518 10.134543 0.7371406 0.15426877
## 519 6.208077 0.6042992 0.11657180
## 520 7.151937 0.6141566 0.13307397
## 521 6.280818 0.6037072 0.11503108
## 522 10.059501 1.1327864 0.17240474
## 523 6.581803 0.6882695 0.12382259
## 524 6.849829 0.6165767 0.12777390
## 525 6.685650 0.7007002 0.13460240
## 526 8.365580 0.6674175 0.14985999
## 527 10.434919 0.8270590 0.18304453
## 528 6.888380 0.5705144 0.15198064
## 529 10.942938 0.8055058 0.18806243
## 530 9.606067 0.7179416 0.16861628
## 531 10.705612 0.7941812 0.18709366
## 532 6.551347 0.5268749 0.11019567
## 533 10.684903 0.8266982 0.19411156
## 534 8.393909 0.6253745 0.15030137
## 535 7.081975 0.5830452 0.14835532
## 536 8.033916 0.7128293 0.16412773
## 537 7.868792 0.5736644 0.14968118
## 538 9.025772 0.5949468 0.15429401
## 539 7.853271 0.6882429 0.15656152
## 540 10.871852 0.6892484 0.18563767
## 541 6.709982 0.4562739 0.13772490
## 542 7.341255 0.5170682 0.14872024
## 543 14.524144 0.8849338 0.27529420
## 544 7.019987 0.4887701 0.14214699
## 545 7.017353 0.4855199 0.14291750
## 546 12.929596 0.8563925 0.23684879
## 547 8.440358 0.5783774 0.16441662
## 548 12.384941 0.7849029 0.23372289
## 549 9.869339 0.6226867 0.16336512
## 550 8.944124 0.6303435 0.15598381
## 551 16.638622 1.3610474 0.26329809
## 552 12.895074 1.0218492 0.20600525
## 553 14.110007 1.1346056 0.23770831
## 554 10.515932 0.7068283 0.20730925
## 555 14.104481 0.8676787 0.26589986
## 556 9.136855 0.6767806 0.16734670
## 557 11.847753 0.7676108 0.22739287
## 558 12.644928 0.7581982 0.23974488
## 559 14.674832 1.1346562 0.25203119
## 560 16.120321 1.2482571 0.25116739
## 561 12.390758 1.0587140 0.21544974
## 562 7.818192 0.7037309 0.13590823
## 563 8.645116 0.6550552 0.14019671
## 564 10.337892 0.8922766 0.16838703
## 565 10.844012 0.9806126 0.18389912
## 566 10.712477 0.7151948 0.15165450
## 567 10.925152 0.8286082 0.19123107
## 568 8.455780 0.6266082 0.13302133
## 569 9.856847 0.7595007 0.16248910
## 570 8.721266 0.6196027 0.12815809
## 571 10.449805 0.8659816 0.16710393
## 572 10.128817 0.7131664 0.15640925
## 573 11.476002 0.9840069 0.18760347
## 574 7.867500 0.6603081 0.13372557
## 575 9.497102 0.6890427 0.14855899
## 576 9.555027 0.6500589 0.14840735
## 577 10.720157 0.7788945 0.16202450
## 578 10.805423 0.7840600 0.16147244
## 579 9.444737 0.6260852 0.14829575
## 580 9.070644 0.6344108 0.14256345
## 581 8.729056 0.6198994 0.13279996
## 582 9.541440 0.7084778 0.14858532
## 583 10.025656 0.7499715 0.14991768
## 584 11.311017 0.8530710 0.16810306
## 585 11.481810 0.8836538 0.16848370
## 586 11.242209 0.8419846 0.16737009
## 587 8.176686 0.5509853 0.11534492
## 588 8.625126 0.5998465 0.12560114
## 589 9.772845 0.6543111 0.14342076
## 590 20.443690 1.2008177 0.27441521
## 591 9.541380 0.9417724 0.16080259
## 592 17.842080 1.0956397 0.24191431
## 593 11.425416 1.1684488 0.19450693
## 594 9.409526 0.9583437 0.16162223
## 595 21.339478 1.2279377 0.28750361
## 596 4.198451 0.3449249 0.07332349
## 597 19.285602 0.9333265 0.26885640
## 598 7.987911 0.6240759 0.12966945
## 599 21.240513 1.0173710 0.29309987
## 600 7.103924 0.7113023 0.12540955
## 601 8.937200 0.5709979 0.14315849
## 602 10.892264 1.1182661 0.18106366
## 603 5.325961 0.3863442 0.08166924
## 604 5.735214 0.4253637 0.12583597
## 605 7.046781 0.5143361 0.14215090
## 606 7.157339 0.5122204 0.14403078
## 607 8.693006 0.6468854 0.14579644
## 608 8.941627 0.6819283 0.15599902
## 609 6.034540 0.4390316 0.13710531
## 610 6.177776 0.4699705 0.13739678
## 611 10.956360 0.7516626 0.15686092
## 612 8.716077 0.8220873 0.17753753
## 613 8.407559 0.7864263 0.16305852
## 614 8.987438 0.8300489 0.19840565
## 615 8.152840 0.7178660 0.17142478
## 616 8.586574 0.7696845 0.17215599
## 617 6.617854 0.5379167 0.11782653
## 618 7.841257 0.6981661 0.17052118
## 619 7.060318 0.6227945 0.13234773
## 620 8.957940 0.8489057 0.18993801
## 621 5.517171 0.4559953 0.13468250
## 622 6.386194 0.5057183 0.16035652
## 623 8.599781 0.6121194 0.20292501
## 624 8.452662 0.5839383 0.21230693
## 625 8.007994 0.5226338 0.20037970
## 626 7.377002 0.5248606 0.16686635
## 627 8.014567 0.5884788 0.18175610
## 628 7.862029 0.5111954 0.19640171
## 629 8.965353 0.8711902 0.18666404
## 630 7.651815 0.7492382 0.14397804
## 631 8.738640 0.6135963 0.15727104
## 632 8.572252 0.6888742 0.15448031
## 633 8.018597 0.6831373 0.15598765
## 634 8.152697 0.6922854 0.16102204
## 635 7.776883 0.6303916 0.14948134
## 636 7.171832 0.7047136 0.13960136
## 637 10.056746 0.9072012 0.19043577
## 638 12.082569 1.0523604 0.18809668
## 639 11.708107 0.7889357 0.16332462
## 640 11.373821 0.8793642 0.18264073
## 641 7.572076 0.6459381 0.12998469
## 642 7.373851 0.7262633 0.12844304
## 643 11.646689 0.9409690 0.18407926
## 644 10.450234 0.7083345 0.14936154
## 645 12.788734 1.0394975 0.22017009
## 646 8.721317 0.7302433 0.14696280
## 647 12.873217 1.1337356 0.21745933
## 648 11.812277 0.9831391 0.18282827
## 649 7.623446 0.7416875 0.13482429
## 650 10.844791 0.8699295 0.17174266
## 651 12.734002 0.8529789 0.17770378
## 652 11.689751 0.9828364 0.18055801
## 653 10.920194 0.7587071 0.16560026
## 654 9.822833 0.6837065 0.15742215
## 655 10.976566 0.8270442 0.17677441
## 656 11.607010 0.7785808 0.18097756
## 657 8.238527 0.5770570 0.13393313
## 658 11.185456 0.7439743 0.17464059
## 659 8.587413 0.6077557 0.13995211
## 660 10.131395 0.6853524 0.16114520
## 661 11.490365 0.8422379 0.18320947
## 662 8.088812 0.5244541 0.13037010
## 663 11.719405 0.8101103 0.17726565
## 664 15.921793 1.0546131 0.21863566
## 665 11.774866 0.7990912 0.17279522
## 666 10.690290 0.7412853 0.16087880
## 667 10.799028 0.7367994 0.15800284
## 668 10.263206 0.7059304 0.15351031
## 669 5.337509 0.4637096 0.09205487
## 670 22.517890 1.0971013 0.30751981
## 671 14.591330 1.5322757 0.24618231
## 672 10.528305 0.6548145 0.15010162
## 673 7.229582 0.6167493 0.11769824
## 674 15.987629 0.8369450 0.22436416
## 675 18.579354 0.9386267 0.25707474
## 676 12.821252 1.3577528 0.21358788
## 677 22.165346 1.0492024 0.30527700
## 678 6.163643 0.4983166 0.10113335
## 679 11.931856 1.2474411 0.19808712
## 680 10.883604 0.7371926 0.14825425
## 681 7.707158 0.7066900 0.12952739
## 682 16.494726 0.8590214 0.22921659
## 683 14.099819 1.4844158 0.23745021
## 684 23.397191 1.1224379 0.31987857
## 685 7.582675 0.6501980 0.13785583
## 686 7.347411 0.6663031 0.13347558
## 687 9.310545 0.6711055 0.18126802
## 688 6.495960 0.4557732 0.15167089
## 689 8.698227 0.6088863 0.16793976
## 690 7.403325 0.5824033 0.16227821
## 691 5.835861 0.4177865 0.12140391
## 692 8.197575 0.6866319 0.19821073
## 693 6.121822 0.4929060 0.15416311
## 694 9.643158 0.7957697 0.17358267
## 695 8.609282 0.7243803 0.16434709
## 696 6.853905 0.5212209 0.16863143
## 697 7.498387 0.5199616 0.17482946
## 698 8.589439 0.5643812 0.21042648
## 699 8.274670 0.6281416 0.18326142
## 700 8.294978 0.5441934 0.20769353
## 701 7.863788 0.5123691 0.19774333
## 702 7.574293 0.5759683 0.15647105
## 703 6.682108 0.4642673 0.15265940
## 704 7.511513 0.5217218 0.18137339
## 705 8.091101 0.6905273 0.16022947
## 706 8.286992 0.5929003 0.14638925
## 707 9.224481 0.6425089 0.16589610
## 708 10.221095 0.7434233 0.19226219
## 709 9.282885 0.6975761 0.16766052
## 710 11.573429 0.9336085 0.21472957
## 711 9.381903 0.8095327 0.18439279
## 712 11.349378 0.6976327 0.20487472
## 713 7.852473 0.5475827 0.13466417
## 714 11.338417 0.7741252 0.20112433
## 715 8.202860 0.5948979 0.13525542
## 716 10.062918 0.6588039 0.16108675
## 717 7.607085 0.5435548 0.12707922
## 718 10.914432 0.7880653 0.17501210
## 719 8.914607 0.6339614 0.15006374
## 720 10.904784 0.7801689 0.17484462
## 721 8.677451 0.5759138 0.14064387
## 722 10.698602 0.7557508 0.18185757
## 723 9.304351 0.6747676 0.14975259
## 724 9.066661 0.6538570 0.14489983
## 725 6.188486 0.5001530 0.15249820
## 726 8.196889 0.6153719 0.13534421
## 727 7.993455 0.6048027 0.13121839
## 728 8.196370 0.5513249 0.20449385
## 729 8.192745 0.5935134 0.18508485
## 730 15.021112 0.9254333 0.29005186
## 731 14.559581 0.9301962 0.27351112
## 732 9.496525 0.6397290 0.19158635
## 733 6.757323 0.5092807 0.15615100
## 734 6.472981 0.5538521 0.16018702
## 735 6.418259 0.5407234 0.15783395
## 736 7.088043 0.4854525 0.16477272
## 737 7.131958 0.5003044 0.16618316
## 738 7.347099 0.5047905 0.17091180
## 739 6.859695 0.5087420 0.15946635
## 740 7.328231 0.7164342 0.18597653
## 741 10.106932 0.6946672 0.14996976
## 742 11.910546 0.8736965 0.16660969
## 743 7.845361 0.7124113 0.14216450
## 744 13.321735 0.8785794 0.18727558
## 745 9.467731 0.7234114 0.16581763
## 746 9.262397 0.8753216 0.16162946
## 747 6.906437 0.5310250 0.12601938
## 748 7.496170 0.5892293 0.12272032
## gwr.e pred pred.se localR2 X.Intercept._se_EDF
## 0 -8.03622111 43.844081 2.779828 0.4334753 8.049854
## 1 -1.27542794 43.686142 1.861825 0.4567683 8.649380
## 2 2.99203315 53.484651 2.012805 0.3318631 7.872749
## 3 11.89345438 55.963688 3.961656 0.7487482 12.510056
## 4 -8.15926760 39.905299 4.066037 0.6106522 13.395231
## 5 10.01891248 47.184477 1.722466 0.3033642 6.539173
## 6 4.18602764 60.359427 2.557139 0.7209294 9.825760
## 7 -36.78242383 53.146060 2.797994 0.5366716 10.833412
## 8 -11.16961115 40.916447 1.738796 0.7547003 11.313852
## 9 6.24766583 21.252334 2.978003 0.6985432 10.468168
## 10 -19.29659618 46.125864 2.850751 0.2273108 7.493998
## 11 13.01592793 44.904864 2.158607 0.5529955 11.215950
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## 291 5.35287477 52.601671 2.651692 0.6878568 11.358351
## 292 2.90402938 48.217047 3.398130 0.6613059 14.995454
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## 469 3.50257127 67.010249 3.608318 0.2078758 14.527967
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## 517 4.90327924 44.422866 1.650882 0.7192458 11.528859
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## 519 5.46030323 64.633155 1.534005 0.3685424 6.397556
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## 561 0.58351602 64.871029 1.804200 0.3897875 12.768942
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## 574 -0.39625256 73.312919 2.430377 0.6791253 8.107627
## 575 7.10732416 49.970301 1.746094 0.7779405 9.786967
## 576 -0.99923834 30.360940 2.839667 0.6843952 9.846661
## 577 -9.43972617 56.422485 2.396909 0.7381239 11.047352
## 578 -0.62176071 57.081091 2.689763 0.6883397 11.135221
## 579 -14.58049294 50.467590 1.907081 0.6996445 9.733004
## 580 -3.77999101 66.649189 2.877949 0.7425189 9.347493
## 581 9.53574241 56.959103 2.348879 0.6988895 8.995480
## 582 -0.97194668 60.443312 2.470073 0.7714871 9.832659
## 583 -17.82781352 62.033822 2.434017 0.5733486 10.331654
## 584 -17.23943971 42.514165 2.908360 0.6090440 11.656246
## 585 -12.15150783 40.068175 2.807350 0.6267080 11.832251
## 586 2.30596430 49.812680 1.857300 0.6092730 11.585338
## 587 -13.29984569 49.405322 1.254744 0.6465787 8.426250
## 588 2.18099670 47.186092 1.342216 0.6086541 8.888377
## 589 -0.64155918 53.141559 2.060825 0.6135368 10.071127
## 590 -2.21894570 52.661424 2.681466 0.5866195 21.067661
## 591 1.82624361 68.789870 1.918310 0.3145532 9.832597
## 592 4.55709894 59.999863 2.133078 0.6254609 18.386647
## 593 4.07847749 62.155289 2.776514 0.1815100 11.774136
## 594 10.04439873 66.807453 2.826526 0.2998783 9.696719
## 595 6.10584030 66.435143 2.822644 0.6184613 21.990790
## 596 -16.97031981 67.796766 1.646124 0.5001711 4.326594
## 597 -5.13323726 71.393400 3.526263 0.7569033 19.874227
## 598 3.53137700 24.737174 3.085744 0.7023374 8.231714
## 599 -5.74340295 38.801254 3.828746 0.7709419 21.888804
## 600 7.05771176 66.762031 2.491484 0.4296578 7.320747
## 601 6.45652650 47.525774 2.480742 0.6445350 9.209977
## 602 0.59708453 67.383211 2.312738 0.2689968 11.224712
## 603 1.32798003 53.693854 1.077962 0.7324358 5.488517
## 604 12.66319721 58.258789 2.059153 0.4455848 5.910261
## 605 -10.34279226 45.994966 1.554755 0.4301174 7.261859
## 606 -17.53233726 48.497729 2.155062 0.4246241 7.375791
## 607 13.24116832 47.734441 3.596007 0.6754091 8.958329
## 608 3.11105603 43.555611 1.625406 0.5947192 9.214539
## 609 15.60586805 64.394132 3.461222 0.4260412 6.218723
## 610 10.60017492 43.628681 1.545329 0.4029917 6.366331
## 611 10.17088548 31.988498 5.102835 0.5844761 11.290764
## 612 0.21339931 25.034125 2.563922 0.4592717 8.982104
## 613 -7.48114765 24.814481 2.213466 0.4950332 8.664170
## 614 4.64101472 29.328451 2.620699 0.4199248 9.261748
## 615 2.01026049 32.230985 3.277724 0.5003568 8.401676
## 616 -10.24414224 36.703286 2.767566 0.4534642 8.848648
## 617 1.32010296 37.512384 2.545089 0.6494753 6.819841
## 618 -1.87847394 32.111032 2.271541 0.4984141 8.080584
## 619 -7.93950380 24.173270 2.068658 0.5357805 7.275809
## 620 -1.78750349 27.330982 1.924654 0.4261440 9.231350
## 621 -8.50208442 42.726683 2.007493 0.4197090 5.685563
## 622 16.75572125 49.427854 2.862773 0.4131336 6.581110
## 623 9.86002034 37.353094 2.223197 0.3685497 8.862259
## 624 -9.84582209 30.637901 2.694451 0.4301227 8.710650
## 625 -8.62725039 27.446439 4.052510 0.4360864 8.252410
## 626 -4.78902026 34.566798 1.994259 0.4123932 7.602159
## 627 -4.39528705 35.863819 3.364641 0.3721834 8.259184
## 628 -13.15685844 34.461206 2.599678 0.4206161 8.101990
## 629 -2.57848634 65.025744 2.146714 0.3475548 9.238988
## 630 -14.48002829 74.832451 2.452027 0.5661838 7.885360
## 631 1.42524670 64.561148 1.695483 0.6395322 9.005356
## 632 10.38058885 63.825760 1.835868 0.5661777 8.833890
## 633 -2.14109044 69.723508 2.347939 0.7755287 8.263336
## 634 3.19540312 70.430971 1.813450 0.5459187 8.401529
## 635 2.98458676 66.918326 1.577208 0.7566697 8.014245
## 636 -0.53317898 70.611919 1.641327 0.5373317 7.390727
## 637 1.15981534 65.506851 2.069203 0.3504292 10.363693
## 638 0.30046548 54.765614 1.908561 0.7420964 12.451347
## 639 4.04576672 23.613808 2.670780 0.7249279 12.065456
## 640 -8.55728091 74.432652 3.202824 0.7045445 11.720966
## 641 7.49208733 26.869146 3.780262 0.6552052 7.803187
## 642 6.06338095 36.727317 4.754659 0.6483669 7.598912
## 643 -2.10007898 64.322301 1.693919 0.6580203 12.002163
## 644 -4.66983683 64.468832 2.760762 0.7607569 10.769191
## 645 4.46196476 66.029839 3.106747 0.4280903 13.179065
## 646 16.88787243 53.070975 2.093241 0.6786127 8.987504
## 647 -1.34035717 68.810237 2.277977 0.3913324 13.266127
## 648 1.53885118 66.066783 2.191732 0.7356823 12.172805
## 649 -6.62477688 65.066335 1.710690 0.6581466 7.856124
## 650 3.60012487 62.147907 2.444267 0.7136656 11.175790
## 651 -0.91920143 24.107607 2.618012 0.7521796 13.122663
## 652 3.82374839 62.298701 2.852827 0.7473655 12.046539
## 653 -4.74939110 48.465238 1.752866 0.7336993 11.253494
## 654 2.70952181 67.002017 2.100221 0.5244368 10.122640
## 655 15.30326885 51.505242 3.190731 0.4477302 11.311587
## 656 4.40546940 67.378763 2.237332 0.5037379 11.961273
## 657 8.45338739 37.822008 1.930228 0.6116408 8.489979
## 658 -7.41197930 65.653738 2.283000 0.5150818 11.526852
## 659 10.59552737 29.404473 3.609351 0.6136330 8.849514
## 660 6.55944234 69.880348 3.000744 0.5464805 10.440620
## 661 14.77218578 62.106427 2.232981 0.4352479 11.841067
## 662 21.16119438 46.783056 1.304350 0.6348374 8.335694
## 663 6.17179268 53.641291 2.410389 0.6149899 12.077098
## 664 2.28520562 65.141504 2.916474 0.5107856 16.407750
## 665 11.22110397 49.329355 2.954994 0.6603176 12.134252
## 666 0.95532810 47.128296 1.552371 0.6685057 11.016573
## 667 6.28813818 58.863377 2.532648 0.6318551 11.128630
## 668 10.89507337 51.394489 2.144050 0.6126034 10.576454
## 669 0.44573476 72.631188 2.160278 0.5885896 5.500417
## 670 0.98137659 33.008771 5.856823 0.8127675 23.205169
## 671 3.27220560 67.848484 3.813042 0.1967958 15.036679
## 672 -7.26024677 66.987209 1.968814 0.6844485 10.849645
## 673 -7.45107461 75.691418 2.292677 0.6822592 7.450240
## 674 -2.21117829 67.409416 2.772789 0.7299558 16.475595
## 675 0.11922267 69.880777 2.956814 0.7613042 19.146423
## 676 8.23313509 64.795911 2.026227 0.2006275 13.212576
## 677 11.23128301 41.947908 3.705170 0.7360826 22.841865
## 678 4.27131791 70.618550 1.710658 0.6970853 6.351767
## 679 -3.00200187 66.056189 2.326915 0.2399673 12.296033
## 680 -11.55790163 43.828818 2.228453 0.6895540 11.215788
## 681 6.25053029 66.476742 2.056378 0.6479549 7.942392
## 682 -0.96616185 67.521346 2.474760 0.7036243 16.998169
## 683 -4.17321288 67.724615 5.060947 0.1856638 14.530166
## 684 2.33147781 38.394329 3.574406 0.8125940 24.111307
## 685 10.01197346 74.569524 4.796245 0.6642377 7.814109
## 686 -3.40645561 71.992843 2.497337 0.6592099 7.571665
## 687 0.93954381 61.480838 3.874932 0.4866495 9.594717
## 688 -7.94368983 45.072403 5.315101 0.3475601 6.694226
## 689 -0.84728901 53.661142 2.351492 0.5320820 8.963710
## 690 -9.78405927 62.995068 3.319206 0.6654987 7.629285
## 691 -7.78143320 53.130270 2.852134 0.4353620 6.013980
## 692 0.66051689 34.000838 3.304318 0.5133746 8.447777
## 693 4.52653007 28.806803 2.181396 0.5117429 6.308669
## 694 0.66088325 32.497011 3.559022 0.4365037 9.937481
## 695 -2.96899431 24.551728 2.200127 0.3607403 8.872050
## 696 -29.59724531 51.912157 3.424700 0.3346459 7.063096
## 697 3.65312669 32.778100 2.505549 0.3964044 7.727249
## 698 -7.55545603 35.474238 2.569264 0.3838028 8.851601
## 699 -9.00938724 37.732791 2.203605 0.3568574 8.527225
## 700 -7.71327636 36.408929 2.196715 0.4483174 8.548153
## 701 -7.03398377 35.251806 2.405884 0.4424259 8.103802
## 702 -4.88973455 37.667512 1.865607 0.3818373 7.805471
## 703 -6.17429277 39.992475 1.605199 0.4165186 6.886055
## 704 -14.26454356 44.939390 3.481755 0.4226480 7.740776
## 705 -0.51945620 69.587253 1.635824 0.4501914 8.338053
## 706 5.39073527 67.500831 1.721320 0.7173889 8.539924
## 707 9.66742768 65.152716 1.582696 0.5924886 9.506026
## 708 3.66408418 69.829892 2.649853 0.4269527 10.533058
## 709 -4.12167491 69.506290 2.240315 0.5128781 9.566212
## 710 -3.35991852 70.026585 3.726543 0.3061349 11.926667
## 711 -4.45523931 68.928924 2.211939 0.3458914 9.668253
## 712 -2.52807983 60.691345 1.950920 0.6074712 11.695778
## 713 16.48374620 6.482761 6.092911 0.7500760 8.092143
## 714 2.76353387 45.911963 2.147509 0.4627007 11.684482
## 715 -1.12417299 44.487005 1.641782 0.5796268 8.453224
## 716 12.64630379 66.026682 2.093321 0.5586220 10.370054
## 717 5.48599764 45.238640 1.299551 0.6089491 7.839265
## 718 7.71501512 52.671458 3.554628 0.4712921 11.247556
## 719 0.88629351 46.291126 1.449713 0.5963421 9.186694
## 720 2.25734744 70.329525 2.595762 0.5109250 11.237614
## 721 1.40708677 60.536233 1.880474 0.6028775 8.942300
## 722 3.41572903 41.440238 2.951810 0.7006086 11.025139
## 723 -12.39664790 30.237023 3.675393 0.7696972 9.588333
## 724 -5.62616316 26.593905 3.649836 0.7755324 9.343389
## 725 11.20601697 34.975801 1.489158 0.5070203 6.377367
## 726 6.26572916 54.623160 2.069802 0.7161144 8.447070
## 727 11.59965979 47.894011 1.570300 0.7563889 8.237427
## 728 -2.53623312 35.228541 2.024725 0.4403611 8.446536
## 729 10.01686195 31.499384 2.877894 0.3788706 8.442800
## 730 -8.69619766 29.035181 2.532100 0.7931171 15.479578
## 731 2.03345391 49.545493 1.865760 0.7368601 15.003961
## 732 4.38140628 25.921624 2.964583 0.8177860 9.786373
## 733 13.23046909 43.251012 1.847536 0.3116201 6.963567
## 734 11.14187216 40.456301 1.921696 0.3440334 6.670545
## 735 5.09435172 39.385144 2.934985 0.3555849 6.614154
## 736 -13.44153630 46.955050 2.547673 0.3336376 7.304380
## 737 -12.42672095 44.547933 2.993930 0.3434859 7.349636
## 738 6.77927523 42.554058 2.558581 0.2711109 7.571343
## 739 8.03443088 48.837607 2.236540 0.3149586 7.069063
## 740 7.36355678 39.885634 4.329798 0.2196674 7.551900
## 741 -3.49002265 28.170874 2.145157 0.6895018 10.415411
## 742 -3.77120936 36.215654 1.702836 0.6601200 12.274073
## 743 6.55272075 65.768708 1.842597 0.6650158 8.084813
## 744 -5.14682601 32.205650 1.972289 0.7567135 13.728334
## 745 5.10917675 63.194395 2.045929 0.3555856 9.756700
## 746 -15.49892647 61.741701 2.421754 0.2184175 9.545099
## 747 6.21087852 65.695476 1.616448 0.6555808 7.117232
## 748 -26.19127474 53.168019 1.709337 0.6824011 7.724964
## OA.Census.Unemployed_se_EDF OA.Census.White_British_se_EDF pred.se.1
## 0 0.5432452 0.16362871 2.864673
## 1 0.5956387 0.17419512 1.918651
## 2 0.6046260 0.16990485 2.074238
## 3 1.0461132 0.19441347 4.082572
## 4 0.8849756 0.20667942 4.190138
## 5 0.5719558 0.16106749 1.775038
## 6 0.7220360 0.14883521 2.635187
## 7 0.7732618 0.16174884 2.883392
## 8 0.7019796 0.17526225 1.791867
## 9 0.6930152 0.16082993 3.068896
## 10 0.7056271 0.18934582 2.937760
## 11 0.8348776 0.16972738 2.224491
## 12 0.6629229 0.18890159 2.926738
## 13 0.4457829 0.14592496 1.928929
## 14 0.7668712 0.16682976 2.043766
## 15 0.7030950 0.21824129 1.976900
## 16 0.6121935 0.13634641 2.073573
## 17 0.4099751 0.08909765 1.584084
## 18 0.5348114 0.16402911 3.712694
## 19 0.5557264 0.18281617 2.513285
## 20 0.5086721 0.17017253 2.047907
## 21 0.5282797 0.14835247 3.236964
## 22 0.5198710 0.18646707 2.470587
## 23 0.4221638 0.11174663 1.768583
## 24 0.8032684 0.18153345 2.941246
## 25 1.0302488 0.19960272 3.546571
## 26 0.8240117 0.15960861 1.532524
## 27 0.5780258 0.15006241 2.786106
## 28 0.6635281 0.15425080 2.267185
## 29 0.9804090 0.18967803 3.455477
## 30 0.5873230 0.16178207 2.340281
## 31 0.6335830 0.16309167 1.787717
## 32 0.6681320 0.15528771 1.568943
## 33 0.6227288 0.17371586 2.193694
## 34 0.6565233 0.14639075 2.239055
## 35 0.6372130 0.14662521 2.603029
## 36 0.7882589 0.25702031 2.113594
## 37 0.6284496 0.14384928 1.745753
## 38 0.7308269 0.24542525 4.333274
## 39 0.5822660 0.16943615 2.340619
## 40 0.9907252 0.27595402 2.835654
## 41 0.5942407 0.15987649 2.673267
## 42 0.8104548 0.15329131 2.252680
## 43 0.7649426 0.22632648 3.229333
## 44 0.6691375 0.18443173 1.934176
## 45 0.5868857 0.14931174 1.723938
## 46 0.6160546 0.15070317 2.303212
## 47 0.9064583 0.27941638 2.361140
## 48 0.8361198 0.25558482 3.028125
## 49 0.8839905 0.27588227 2.209450
## 50 0.6853420 0.15484057 2.012138
## 51 0.8393970 0.16874091 1.626113
## 52 0.6384272 0.12974722 4.759858
## 53 1.0380196 0.16770052 1.671373
## 54 0.6986311 0.12466549 2.636354
## 55 0.6790156 0.12323263 1.438286
## 56 1.1154825 0.25135440 2.802133
## 57 0.8864763 0.19368883 2.547642
## 58 1.1234626 0.24556174 1.951933
## 59 0.7101671 0.17664252 1.462069
## 60 0.7049172 0.18287707 1.790207
## 61 0.7371978 0.16315693 2.162990
## 62 0.9658123 0.20323392 2.006642
## 63 1.0696888 0.21897570 1.918748
## 64 1.1265240 0.33064726 2.026653
## 65 1.2417722 0.24844911 5.080925
## 66 0.5991689 0.13292105 1.940074
## 67 0.7902645 0.16275823 2.212541
## 68 0.6399053 0.16471271 2.989194
## 69 0.6600639 0.16578628 1.797540
## 70 0.6901969 0.16173287 1.838439
## 71 0.7520302 0.15865569 3.416758
## 72 0.6652408 0.19904512 2.075009
## 73 0.9002495 0.22124010 2.942784
## 74 0.7902398 0.18791526 1.726731
## 75 0.8211902 0.19613001 2.377335
## 76 0.6832237 0.16443342 1.616135
## 77 0.6176531 0.14984326 1.555790
## 78 0.8049067 0.18992026 2.308768
## 79 0.7132839 0.15004227 2.692733
## 80 0.9310047 0.18306073 3.470202
## 81 0.7847015 0.15505681 3.077887
## 82 0.8391506 0.18464151 2.741625
## 83 0.7772613 0.16079556 2.767899
## 84 0.9920800 0.19593671 2.429570
## 85 1.0804098 0.26454147 2.832303
## 86 0.8152319 0.16884428 2.472227
## 87 0.9566602 0.26274227 1.845372
## 88 1.2040292 0.22356400 2.340246
## 89 0.8578283 0.21766353 2.223389
## 90 1.2648071 0.28056131 5.086946
## 91 1.0695989 0.19425484 2.456624
## 92 0.6975131 0.19602963 1.760062
## 93 0.4927696 0.10458958 1.509978
## 94 0.7452857 0.24367640 2.392182
## 95 1.0126789 0.30955900 3.669794
## 96 0.4370790 0.11816452 1.605429
## 97 0.9217731 0.28436465 2.212290
## 98 0.6810815 0.16795473 2.304348
## 99 0.6128549 0.16139442 1.940145
## 100 0.7651576 0.23162078 2.247300
## 101 0.6850525 0.19795644 1.914283
## 102 0.6988816 0.17245657 1.743832
## 103 0.7152625 0.16409818 2.656330
## 104 0.7005677 0.14676580 1.661722
## 105 0.5799461 0.11574365 1.364137
## 106 0.8209731 0.13646692 1.965870
## 107 0.8002046 0.18481054 2.128905
## 108 0.6810730 0.15110070 2.566942
## 109 0.7013247 0.16689314 1.766370
## 110 1.2278377 0.20521846 2.562831
## 111 0.7123990 0.13757833 2.407739
## 112 0.9353048 0.17674567 2.927788
## 113 0.7283575 0.15390621 3.285253
## 114 0.9082190 0.18146657 4.693368
## 115 0.8807887 0.17188726 2.284056
## 116 0.6339640 0.14794950 3.782407
## 117 0.6288765 0.14590927 3.105294
## 118 0.8909321 0.17957346 1.771022
## 119 0.5870221 0.17642049 2.932063
## 120 0.5803672 0.17373319 1.866172
## 121 0.8142586 0.17101351 2.283796
## 122 0.7057415 0.12121559 2.447208
## 123 0.8863052 0.15080045 2.155777
## 124 0.8001962 0.17285308 1.893693
## 125 1.3561744 0.21484953 3.914039
## 126 1.1360486 0.25015216 2.289846
## 127 0.4310315 0.12472818 1.975796
## 128 0.6127058 0.13532099 2.890777
## 129 0.8424189 0.17375424 3.210714
## 130 0.6479226 0.13787022 5.773265
## 131 0.6493139 0.17366202 2.844670
## 132 0.7707966 0.20426912 1.988078
## 133 0.5171671 0.16538586 1.883345
## 134 0.5776993 0.17219155 2.576245
## 135 0.6309797 0.13648415 1.852007
## 136 1.0435804 0.19263439 1.941635
## 137 0.6726351 0.13680436 2.008390
## 138 0.7937988 0.17214458 1.978735
## 139 1.0501060 0.20421423 1.641755
## 140 0.6420654 0.15296241 2.471929
## 141 1.1582991 0.25865596 3.096033
## 142 1.0272847 0.20990063 1.978462
## 143 1.0035383 0.20235277 3.046388
## 144 1.1594272 0.24768670 2.098152
## 145 1.0367090 0.24471828 3.112726
## 146 0.7376475 0.19603909 2.710827
## 147 1.1255652 0.25772152 1.895341
## 148 0.6773150 0.16532349 2.067020
## 149 0.8730484 0.23481455 2.960449
## 150 0.4901358 0.14615764 2.550222
## 151 0.7274394 0.17839557 1.967639
## 152 1.3730387 0.22110879 1.962869
## 153 0.2785539 0.05914405 1.387305
## 154 0.9875285 0.20685867 3.561668
## 155 0.5208274 0.10499799 1.298565
## 156 0.4967303 0.14688867 3.122512
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## 581 0.6388196 0.13685321 2.420571
## 582 0.7301015 0.15312036 2.545464
## 583 0.7728618 0.15449339 2.508307
## 584 0.8791079 0.17323381 2.997128
## 585 0.9106243 0.17362607 2.893034
## 586 0.8676832 0.17247847 1.913988
## 587 0.5678022 0.11886541 1.293041
## 588 0.6181547 0.12943467 1.383183
## 589 0.6742816 0.14779817 2.123725
## 590 1.2374685 0.28279076 2.763309
## 591 0.9705167 0.16571053 1.976859
## 592 1.1290803 0.24929790 2.198183
## 593 1.2041116 0.20044356 2.861257
## 594 0.9875937 0.16655517 2.912795
## 595 1.2654162 0.29627864 2.908795
## 596 0.3554525 0.07556143 1.696366
## 597 0.9618130 0.27706229 3.633889
## 598 0.6431236 0.13362715 3.179925
## 599 1.0484227 0.30204571 3.945605
## 600 0.7330123 0.12923724 2.567527
## 601 0.5884256 0.14752790 2.556458
## 602 1.1523972 0.18658999 2.383326
## 603 0.3981359 0.08416191 1.110863
## 604 0.4383464 0.12967667 2.122001
## 605 0.5300344 0.14648955 1.602209
## 606 0.5278542 0.14842681 2.220838
## 607 0.6666293 0.15024636 3.705762
## 608 0.7027418 0.16076034 1.675016
## 609 0.4524315 0.14128997 3.566863
## 610 0.4843147 0.14159033 1.592495
## 611 0.7746045 0.16164855 5.258581
## 612 0.8471787 0.18295624 2.642177
## 613 0.8104292 0.16803531 2.281024
## 614 0.8553832 0.20446128 2.700686
## 615 0.7397763 0.17665692 3.377765
## 616 0.7931764 0.17741044 2.852036
## 617 0.5543347 0.12142277 2.622769
## 618 0.7194752 0.17572574 2.340872
## 619 0.6418031 0.13638718 2.131796
## 620 0.8748155 0.19573520 1.983398
## 621 0.4699129 0.13879320 2.068765
## 622 0.5211536 0.16525084 2.950149
## 623 0.6308022 0.20911858 2.291052
## 624 0.6017609 0.21878685 2.776690
## 625 0.5385854 0.20649559 4.176199
## 626 0.5408801 0.17195936 2.055127
## 627 0.6064400 0.18730357 3.467335
## 628 0.5267979 0.20239618 2.679024
## 629 0.8977802 0.19236130 2.212235
## 630 0.7721061 0.14837246 2.526867
## 631 0.6323241 0.16207118 1.747232
## 632 0.7098997 0.15919528 1.891901
## 633 0.7039877 0.16074862 2.419602
## 634 0.7134150 0.16593667 1.868799
## 635 0.6496321 0.15404373 1.625346
## 636 0.7262225 0.14386220 1.691422
## 637 0.9348903 0.19624815 2.132359
## 638 1.0844799 0.19383767 1.966813
## 639 0.8130152 0.16830953 2.752297
## 640 0.9062037 0.18821520 3.300579
## 641 0.6656531 0.13395201 3.895641
## 642 0.7484300 0.13236332 4.899778
## 643 0.9696888 0.18969763 1.745620
## 644 0.7299539 0.15392027 2.845025
## 645 1.0712245 0.22689001 3.201569
## 646 0.7525314 0.15144832 2.157129
## 647 1.1683389 0.22409651 2.347504
## 648 1.0131460 0.18840846 2.258627
## 649 0.7643249 0.13893932 1.762903
## 650 0.8964810 0.17698450 2.518869
## 651 0.8790131 0.18312756 2.697917
## 652 1.0128340 0.18606891 2.939900
## 653 0.7818640 0.17065463 1.806366
## 654 0.7045742 0.16222690 2.164323
## 655 0.8522868 0.18216982 3.288117
## 656 0.8023442 0.18650127 2.305619
## 657 0.5946696 0.13802097 1.989142
## 658 0.7666815 0.17997087 2.352681
## 659 0.6263053 0.14422365 3.719514
## 660 0.7062704 0.16606359 3.092331
## 661 0.8679443 0.18880129 2.301135
## 662 0.5404612 0.13434919 1.344161
## 663 0.8348361 0.18267606 2.483957
## 664 1.0868014 0.22530874 3.005489
## 665 0.8234806 0.17806919 3.045185
## 666 0.7639104 0.16578906 1.599751
## 667 0.7592876 0.16282532 2.609948
## 668 0.7274765 0.15819567 2.209490
## 669 0.4778627 0.09486452 2.226213
## 670 1.1305864 0.31690576 6.035581
## 671 1.5790430 0.25369615 3.929421
## 672 0.6748004 0.15468294 2.028905
## 673 0.6355734 0.12129056 2.362652
## 674 0.8624898 0.23121208 2.857419
## 675 0.9672750 0.26492104 3.047060
## 676 1.3991934 0.22010690 2.088070
## 677 1.0812256 0.31459450 3.818257
## 678 0.5135259 0.10422009 1.762869
## 679 1.2855148 0.20413303 2.397936
## 680 0.7596928 0.15277919 2.296468
## 681 0.7282593 0.13348075 2.119141
## 682 0.8852400 0.23621262 2.550293
## 683 1.5297224 0.24469754 5.215414
## 684 1.1566964 0.32964173 3.683502
## 685 0.6700430 0.14206340 4.942634
## 686 0.6866397 0.13754946 2.573560
## 687 0.6915886 0.18680059 3.993200
## 688 0.4696840 0.15630011 5.477326
## 689 0.6274704 0.17306552 2.423263
## 690 0.6001791 0.16723118 3.420513
## 691 0.4305379 0.12510933 2.939185
## 692 0.7075889 0.20426042 3.405171
## 693 0.5079503 0.15886839 2.247975
## 694 0.8200577 0.17888067 3.667649
## 695 0.7464894 0.16936320 2.267278
## 696 0.5371293 0.17377831 3.529227
## 697 0.5358316 0.18016552 2.582022
## 698 0.5816070 0.21684900 2.647682
## 699 0.6473134 0.18885483 2.270863
## 700 0.5608030 0.21403264 2.263761
## 701 0.5280073 0.20377875 2.479315
## 702 0.5935477 0.16124678 1.922548
## 703 0.4784374 0.15731879 1.654192
## 704 0.5376455 0.18690917 3.588023
## 705 0.7116032 0.16511991 1.685752
## 706 0.6109965 0.15085726 1.773857
## 707 0.6621192 0.17095949 1.631002
## 708 0.7661137 0.19813032 2.730730
## 709 0.7188671 0.17277777 2.308693
## 710 0.9621036 0.22128344 3.840283
## 711 0.8342409 0.19002073 2.279451
## 712 0.7189255 0.21112780 2.010465
## 713 0.5642957 0.13877432 6.278875
## 714 0.7977526 0.20726294 2.213054
## 715 0.6130551 0.13938361 1.691891
## 716 0.6789116 0.16600336 2.157213
## 717 0.5601449 0.13095786 1.339215
## 718 0.8121182 0.18035373 3.663121
## 719 0.6533108 0.15464391 1.493960
## 720 0.8039808 0.18018113 2.674988
## 721 0.5934915 0.14493653 1.937868
## 722 0.7788174 0.18740813 3.041904
## 723 0.6953625 0.15432326 3.787572
## 724 0.6738137 0.14932238 3.761234
## 725 0.5154184 0.15715267 1.534609
## 726 0.6341540 0.13947511 2.132975
## 727 0.6232622 0.13522337 1.618228
## 728 0.5681522 0.21073530 2.086522
## 729 0.6116283 0.19073391 2.965731
## 730 0.9536789 0.29890467 2.609383
## 731 0.9585871 0.28185908 1.922706
## 732 0.6592544 0.19743384 3.055066
## 733 0.5248247 0.16091695 1.903926
## 734 0.5707565 0.16507616 1.980349
## 735 0.5572270 0.16265128 3.024565
## 736 0.5002692 0.16980183 2.625432
## 737 0.5155744 0.17125531 3.085309
## 738 0.5201974 0.17612828 2.636672
## 739 0.5242696 0.16433350 2.304802
## 740 0.7383008 0.19165280 4.461950
## 741 0.7158694 0.15454706 2.210631
## 742 0.9003630 0.17169486 1.754809
## 743 0.7341551 0.14650357 1.898835
## 744 0.9053949 0.19299150 2.032486
## 745 0.7454910 0.17087863 2.108374
## 746 0.9020377 0.16656263 2.495669
## 747 0.5472327 0.12986568 1.665784
## 748 0.6072134 0.12646593 1.761508Exactly the same right? If you want to find out more about S4 functions then you should go and do Chapter 2 of this Data Camp course: https://campus.datacamp.com/courses/working-with-geospatial-data-in-r/ which goes into what sp objects are (objects of class S4), what this means, and how they behave in quite a bit of detail.
If we don’t force the sp object to a data.frame then we can call its native plot functions
spplot(gwr.model$SDF)
Fancy. We can see how they change. Its a bit slow though. And not really a good idea to compare them like this. However, if we want to then we can map out individual results data again…
gwr.map <- cbind(OA.Census, as.matrix(results))
tm_shape(gwr.map) + tm_fill("localR2")
If you want to see more about how to render the different bits in comparison graphs that use different scales (which is where the above plot call really falls down) then look up gridExtra. (See the end of Practical 10 of https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r for a quick introduction to using this very handy package.)
More information
- Practical 10 of https://data.cdrc.ac.uk/tutorial/an-introduction-to-spatial-data-analysis-and-visualisation-in-r
- There is a vignette on GWR:
vignette("GWR")It is not very detailed but does have a list of references where you can find out more about the technique. - http://rspatial.org/analysis/rst/6-local_regression.html
- There are lots of tutorials and other resources around on GWR. Try this one: https://rpubs.com/chrisbrunsdon/101305, this one: https://rstudio-pubs-static.s3.amazonaws.com/44975_0342ec49f925426fa16ebcdc28210118.html, or these StackExchange pages: https://gis.stackexchange.com/